Operation Manager Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Org. Setting and Reporting<br>This position is located in the Office of the United Nations High Commissioner for Human Rights (OHCHR), Regional Hub for the Middle East and North Africa, Beirut (Lebanon). The Administrative Officer reports to the Regional Representative or designate, under the substantive oversight of the Programme Support and Management Services in Geneva.<br> Responsibilities<br>Within delegated authority, the Administrative Officer will be responsible for the following duties: Human Resource Management • Effectively coordinates actions relative to the administration of human resource activities, e.g., recruitment, onboarding,, performance appraisal, staff well-being, training etc., ensuring consistency in the application of UN rules and procedures. Budget and Finance • Takes the lead with respect to the implementation of the work programme, ensuring that financial resources are utilized to implement activities in accordance with the Programme Budget and allotments issued. • Defines requirements and work with systems units with respect to improving budget reporting systems and cost effective utilization of program resources. • Ensures that accounting and financial management controls are consistent with UN policy and practice. • Supervises and/or provides guidance on financial administration and management information issues and practices to colleagues. • Provides guidance and leadership to more junior staff. General Administration • Oversees work related to procurement, billing and receipt of income from various services, operational travel programme, procurement monitoring and evaluation of vendor contracts/payment to vendors and individual contractors for services. • Reviews adequacy of office space requirements. • Oversees the identification of office technology needs and maintenance of equipment, software and systems, connectivity, coordinating enhancements as necessary. • Performs other related work as required.<br> Competencies<br>Professionalism: Knowledge of administrative, budgetary, financial and human resources policies and procedures. Ability to apply various United Nations administrative rules and regulations in work situations. Conceptual analytical and evaluative skills to conduct independent research and analysis. Ability to identify issues, formulate opinions, make conclusions and recommendations. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Planning&amp; Organizing: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently. Accountability: Takes ownership of all responsibilities and honours commitments; delivers outputs for which one has responsibility within prescribed time, cost and quality standards; operates in compliance with organizational regulations and rules; supports subordinates, provides oversight and takes responsibility for delegated assignments; takes personal responsibility for his/her own shortcomings and those of the work unit, where applicable. Client Orientation: Considers all those to whom services are provided to be “clients” and seeks to see things from clients’ point of view; establishes and maintains productive partnerships with clients by gaining their trust and respect; identifies clients’ needs and matches them to appropriate solutions; monitors ongoing developments inside and outside the clients’ environment to keep informed and anticipate problems; keeps clients informed of progress or setbacks in projects; meets timeline for delivery of products or services to client.<br> Education<br>Advanced university degree (Master’s degree or equivalent) in business or public administration, finance, accounting, law or related area. A first-level university degree in combination with two additional years of qualifying work experience may be accepted in lieu of the advanced university degree.<br> Job - Specific Qualification<br>Not available.<br> Work Experience<br>A minimum of five (5) years of progressively responsible experience in administration, finance, accounting, human resources management or related field is required. Experience in providing administrative and HR advisory support to managers and staff is required. Experience in managing budgets is required. Experience in the implementation of administrative and/or financial policies of the United Nations Secretariat or other similar international organizations is desirable. Experience in the use of Umoja, or a comparable enterprise resource planning (ERP)/web-based management system, is desirable. Two years or more of experience in data analytics or a related field is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat. For this job opening, English <b>and</b> Arabic are required. French is desirable. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details).<br> .headtable { font-family: arial, sans-serif; border-collapse: collapse; width: 100%; border: 1px solid gray; border-radius: 10px; overflow: hidden; } .headTitle { font-family: Arial, Helvetica, sans-serif; font-size: 16px; font-weight: bold; /*color: rgb(65, 98, 145);*/ color:black; } .headtable tr td, .headtable tr th { text-align: center; vertical-align: middle; padding: 6px; } .headtable th{ background-color: #F4F4F4; color: #002d62; font-weight: bold; text-align: center; vertical-align: middle; padding: 12px; border-right: 1px solid #ccc; } .headtable td { text-align: center; vertical-align: middle; background-color: white; border-top: 1px solid #ccc; border-right: 1px solid #ccc; } .headtable th:last-child, .headtable td:last-child { border-right: none; } .headtable tr:last-child td { border-bottom: none; } .rounded-table-wrapper { border-radius: 12px; border: 1px solid #ccc; overflow: hidden; } Required LanguagesLanguageReadingWritingListeningSpeaking<br><b>English</b>UN Level IIIUN Level IIIUN Level IIIUN Level III<br><b>Arabic</b>UN Level IIIUN Level IIIUN Level IIIUN Level III<br>Desirable LanguagesLanguageReadingWritingListeningSpeaking<br><b>French</b>UN Level IUN Level IUN Level IUN Level I<br> <br> Assessment<br>Evaluation of qualified candidates may include an assessment exercise which will be followed by competency-based interview.<br> Special Notice<br>Candidates for the National Professional Officer category shall be of the nationality of the country where this position is located. Locally recruited General Service staff members applying for this post must meet the minimum requirements, including academic qualifications and years of relevant experience. Relevant experience in the General Service category at G-6 and G-7 levels may count towards experience requirements. At the United Nations, the paramount consideration in the recruitment and employment of staff is the necessity of securing the highest standards of efficiency, competence and integrity, with due regard to geographic diversity. All employment decisions are made on the basis of qualifications and organizational needs. The United Nations is committed to creating a diverse and inclusive environment of mutual respect. The United Nations recruits and employs staff regardless of gender identity, sexual orientation, race, religious, cultural and ethnic backgrounds or disabilities. Reasonable accommodation for applicants with disabilities may be provided to support participation in the recruitment process when requested and indicated in the application. The United Nations Secretariat is committed to achieving 50/50 gender balance in its staff. Female candidates are strongly encouraged to apply for this position.<br> United Nations Considerations<br>According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with the United Nations if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in the commission of any of these acts. The term “sexual exploitation” means any actual or attempted abuse of a position of vulnerability, differential power, or trust, for sexual purposes, including, but not limited to, profiting monetarily, socially or politically from the sexual exploitation of another. The term “sexual abuse” means the actual or threatened physical intrusion of a sexual nature, whether by force or under unequal or coercive conditions. The term “sexual harassment” means any unwelcome conduct of a sexual nature that might reasonably be expected or be perceived to cause offence or humiliation, when such conduct interferes with work, is made a condition of employment or creates an intimidating, hostile or offensive work environment, and when the gravity of the conduct warrants the termination of the perpetrator’s working relationship. Candidates who have committed crimes other than minor traffic offences may not be considered for employment. Due regard will be paid to the importance of recruiting the staff on as wide a geographical basis as possible. The United Nations places no restrictions on the eligibility of men and women to participate in any capacity and under conditions of equality in its principal and subsidiary organs. The United Nations Secretariat is a non-smoking environment. Reasonable accommodation may be provided to applicants with disabilities upon request, to support their participation in the recruitment process. By accepting a letter of appointment, staff members are subject to the authority of the Secretary-General, who may assign them to any of the activities or offices of the United Nations in accordance with staff regulation 1.2 (c). Further, staff members in the Professional and higher category up to and including the D-2 level and the Field Service category are normally required to move periodically to discharge functions in different duty stations under conditions established in ST/AI/2023/3 on Mobility, as may be amended or revised. This condition of service applies to all position specific job openings and does not apply to temporary positions. Applicants are urged to carefully follow all instructions available in the online recruitment platform, inspira, and to refer to the Applicant Guide by clicking on “Manuals” in the “Help” tile of the inspira account-holder homepage. The evaluation of applicants will be conducted on the basis of the information submitted in the application according to the evaluation criteria of the job opening and the applicable internal legislations of the United Nations including the Charter of the United Nations, resolutions of the General Assembly, the Staff Regulations and Rules, administrative issuances and guidelines. Applicants must provide complete and accurate information pertaining to their personal profile and qualifications according to the instructions provided in inspira to be considered for the current job opening. No amendment, addition, deletion, revision or modification shall be made to applications that have been submitted. Candidates under serious consideration for selection will be subject to reference checks to verify the information provided in the application. All external candidates recruited in accordance with section ‎2.2 (a) of ST/AI/2025/3 for a fixed term appointment without limitation and all external candidates recruited in accordance with section 2.2. (c) of ST/AI/2025/3 for a fixed term appointment limited to the entity are subject to an initial probationary period of one year under a fixed-term appointment. Job openings advertised on the Careers Portal will be removed at 11:59 p.m. (New York time) on the deadline date.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br> </div>

Qualifications <br> <br>Bachelor's degree in Marketing or a related field. <br>3–5 years of experience in Market Research, Marketing Analytics, Business Intelligence, Product Development, or Research & Development. <br>Experience within the FMCG, Food & Beverage, Manufacturing, or Consumer Goods sectors is highly preferred. <br>Experience managing market surveys and consumer research projects. <br> <br>Key Responsibilities1. Market Research & Market Intelligence <br> <br>Conduct quantitative and qualitative market research to identify customer needs, market gaps, and emerging trends. <br>Design and execute market surveys, questionnaires, interviews, and focus groups. <br>Analyze customer preferences, purchasing behavior, and satisfaction levels. <br>Collect, validate, and interpret market data from multiple internal and external sources. <br>Prepare comprehensive market research reports and executive summaries. <br>Monitor local, regional, and international market developments. <br>Develop customer segmentation analyses. <br>2. Competitor Analysis <br> <br>Monitor competitors' products, pricing strategies, promotions, and market positioning. <br>Benchmark competitors' strengths, weaknesses, and competitive advantages. <br>Conduct SWOT analyses for competitors and new market entrants. <br>Track competitors' marketing campaigns and product launches. <br>Prepare regular competitor intelligence reports. <br>3. Product Research & Development (R&D) <br> <br>Identify opportunities for new product development and product improvements. <br>Evaluate customer feedback and market demands to support product innovation. <br>Coordinate product testing and concept validation. <br>Participate in developing new product concepts from ideation through launch. <br>Recommend modifications to existing products based on market findings. <br>Assist in packaging, branding, and product positioning decisions. <br>Support product lifecycle management initiatives. <br>4. Consumer Insights <br> <br>Analyze customer buying habits and decision-making factors. <br>Identify customer pain points and unmet needs. <br>Measure customer satisfaction and brand perception. <br>Conduct post-launch product performance evaluations. <br>Recommend initiatives to improve customer experience. <br>5. Market Surveys <br> <br>Develop survey methodologies and sampling plans. <br>Design questionnaires aligned with research objectives. <br>Coordinate survey execution across various channels. <br>Analyze survey results using statistical methods. <br>Present findings and actionable recommendations to management. <br>6. Business Development Support <br> <br>Evaluate new business opportunities and market expansion potential. <br>Conduct feasibility studies for new markets and products. <br>Support pricing strategy development through market analysis. <br>Identify emerging market segments and growth opportunities. <br>Provide commercial insights for strategic planning. <br>7. Data Analysis & Reporting <br> <br>Analyze large datasets using statistical and analytical tools. <br>Prepare dashboards and KPI reports. <br>Develop trend analyses and forecasting models. <br>Present research findings to senior management. <br>Maintain research databases and historical market records. <br>8. Cross-Functional Collaboration <br> <br>Work closely with Sales, Marketing, Product Development, Operations, and Finance teams. <br>Support marketing campaigns with market intelligence. <br>Participate in strategic planning meetings. <br>Coordinate with external research agencies when required. <br>Key Performance Indicators (KPIs) <br> <br>Number of market studies completed <br>Accuracy and quality of research reports <br>Timeliness of research delivery <br>Number of customer surveys conducted <br>Survey response rate <br>Customer satisfaction research completion <br>Number of competitor analyses completed <br>New product opportunities identified <br>Product improvement recommendations implemented <br>Market share insights generated <br>Success rate of new product launches <br>Forecast accuracy <br>Management satisfaction with research quality <br>Research project completion within budget <br>Return on research initiatives

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Fitness Trainer you will be responsible for supporting both new and current members on the gym floor, promoting a positive gym experience, ensuring safety, maintaining floor organization, and promptly addressing member needs or concerns. You will be a key ambassador of our fitness culture and help reinforce a clean, safe, and motivating environment.</p><p>I. Duties and Responsibilities:</p><p>1. Member Assistance</p><ul><li>Greet members in a friendly and professional manner.</li><li>Provide guidance to new and current members on proper equipment use, basic exercises, and general fitness best practices.</li><li>Answer questions related to general training and gym facilities.</li><li>Assist members with initiating their fitness journey and help them feel comfortable using gym equipment.</li></ul><p>2. Floor Organization &amp; Maintenance</p><ul><li>Keep the gym floor clean, safe, and organized at all times.</li><li>Rerack all weights immediately after use and ensure equipment is returned to designated areas.</li><li>Ensure cardio machines, benches, racks, plates, and accessories are arranged neatly and are ready for member use.</li></ul><p>3. Member Concerns &amp; Complaints</p><ul><li>Listen to and address member issues or complaints courteously and professionally.</li><li>De-escalate tense situations when necessary and report unresolved issues to management promptly.</li><li>Maintain a calm and service-oriented personality at all times.</li></ul><p>4. Equipment Monitoring &amp; Reporting</p><ul><li>Observe the gym floor for any faulty, loose, or damaged equipment.</li><li>Report all equipment problems immediately via the appropriate internal reporting system.</li><li>Work with maintenance and operations teams to ensure timely repairs and follow-ups</li></ul><p>II. Required Competencies:</p><ul><li>Empathy and patience: especially when handling complaints or frustration.</li><li>Teamwork: Quite relevant in a gym environment. Ability of the team as a whole to streamline and optimize the customer s experience.</li><li>Communication and problem solving: The ability to convey information in a concise and clear manner- both verbally and non-verbally which would directly contribute in preventing and/or efficiently tackling and treating problems.</li><li>Accountability: Fostering a work environment based on transparency and clearly defined roles and responsibilities, which would have a direct positive impact on the work culture.</li><li>Creativity and Adaptability: The ability to think out of the box and adapt to new ways of doing.</li><li>Customer Centricity: Having the proper mindset, focus and drive in order to be continuously aware of customer trends, shifts, needs and expectations.</li></ul><p>*This job description is a guide to the nature of the work and is not an exhaustive list of duties. The post-holder will be expected to adapt to the changing needs of the business and perform other duties as reasonably requested.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Empathy and patience: especially when handling complaints or frustration.</li><li>Teamwork: Quite relevant in a gym environment. Ability of the team as a whole to streamline and optimize the customer s experience.</li><li>Communication and problem solving: The ability to convey information in a concise and clear manner- both verbally and non-verbally which would directly contribute in preventing and/or efficiently tackling and treating problems.</li><li>Accountability: Fostering a work environment based on transparency and clearly defined roles and responsibilities, which would have a direct positive impact on the work culture.</li><li>Creativity and Adaptability: The ability to think out of the box and adapt to new ways of doing.</li><li>Customer Centricity: Having the proper mindset, focus and drive in order to be continuously aware of customer trends, shifts, needs and expectations.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Summary:</b></p><p>As a Fitness Trainer you will be responsible for supporting both new and current members on the gym floor, promoting a positive gym experience, ensuring safety, maintaining floor organization, and promptly addressing member needs or concerns. You will be a key ambassador of our fitness culture and help reinforce a clean, safe, and motivating environment.</p><p>I. Duties and Responsibilities:</p><p>1. Member Assistance</p><ul><li>Greet members in a friendly and professional manner.</li><li>Provide guidance to new and current members on proper equipment use, basic exercises, and general fitness best practices.</li><li>Answer questions related to general training and gym facilities.</li><li>Assist members with initiating their fitness journey and help them feel comfortable using gym equipment.</li></ul><p>2. Floor Organization &amp; Maintenance</p><ul><li>Keep the gym floor clean, safe, and organized at all times.</li><li>Rerack all weights immediately after use and ensure equipment is returned to designated areas.</li><li>Ensure cardio machines, benches, racks, plates, and accessories are arranged neatly and are ready for member use.</li></ul><p>3. Member Concerns &amp; Complaints</p><ul><li>Listen to and address member issues or complaints courteously and professionally.</li><li>De-escalate tense situations when necessary and report unresolved issues to management promptly.</li><li>Maintain a calm and service-oriented personality at all times.</li></ul><p>4. Equipment Monitoring &amp; Reporting</p><ul><li>Observe the gym floor for any faulty, loose, or damaged equipment.</li><li>Report all equipment problems immediately via the appropriate internal reporting system.</li><li>Work with maintenance and operations teams to ensure timely repairs and follow-ups</li></ul><p>II. Required Competencies:</p><ul><li>Empathy and patience: especially when handling complaints or frustration.</li><li>Teamwork: Quite relevant in a gym environment. Ability of the team as a whole to streamline and optimize the customer s experience.</li><li>Communication and problem solving: The ability to convey information in a concise and clear manner- both verbally and non-verbally which would directly contribute in preventing and/or efficiently tackling and treating problems.</li><li>Accountability: Fostering a work environment based on transparency and clearly defined roles and responsibilities, which would have a direct positive impact on the work culture.</li><li>Creativity and Adaptability: The ability to think out of the box and adapt to new ways of doing.</li><li>Customer Centricity: Having the proper mindset, focus and drive in order to be continuously aware of customer trends, shifts, needs and expectations.</li></ul><p>*This job description is a guide to the nature of the work and is not an exhaustive list of duties. The post-holder will be expected to adapt to the changing needs of the business and perform other duties as reasonably requested.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>II. Required Competencies:</h2><ul><li>Empathy and patience: especially when handling complaints or frustration.</li><li>Teamwork: Quite relevant in a gym environment. Ability of the team as a whole to streamline and optimize the customer s experience.</li><li>Communication and problem solving: The ability to convey information in a concise and clear manner- both verbally and non-verbally which would directly contribute in preventing and/or efficiently tackling and treating problems.</li><li>Accountability: Fostering a work environment based on transparency and clearly defined roles and responsibilities, which would have a direct positive impact on the work culture.</li><li>Creativity and Adaptability: The ability to think out of the box and adapt to new ways of doing.</li><li>Customer Centricity: Having the proper mindset, focus and drive in order to be continuously aware of customer trends, shifts, needs and expectations.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview The Microsoft Fabric Data Engineer designs, builds, and operates modern data platforms using Microsoft Fabric. This role focuses on ingesting, modeling, and serving data via OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Power BI delivering trusted, performant datasets and governed analytics at scale. The role collaborates closely with data architects, analytics engineers, BI developers, and business stakeholders. Key Responsibilities 1. Data Platform Engineering (Fabric) Build and manage Lakehouses (Delta Lake) and Fabric Data Warehouses. Develop Data Pipelines and Dataflows Gen2 for batch and near-real-time ingestion. Create and optimize Notebook-based transformations (PySpark/SQL) and SQL stored procedures for DW workloads. Implement medallion architecture (bronze/silver/gold) for scalable curation. Publish certified semantic models and Power BI datasets aligned to business domains. 2. Performance &amp; Reliability Optimize storage/compute in OneLake (file formats, partitioning, z-ordering). Tune Spark and SQL workloads (caching strategies, concurrency, workload isolation). Implement robust retry, alerting, and monitoring (Fabric Monitoring Hub, Metrics app). Conduct end-to-end pipeline performance testing and scalability assessments. 3. Governance, Security &amp; Compliance Enforce data governance with sensitivity labels, row-level/column-level security, and workspace roles. Manage item-level permissions (Lakehouse tables, DW schemas, datasets) and Managed Identities for sources. Apply data quality rules, lineage, and documentation (Descriptions, Tags, Owner metadata; Purview if applicable). Ensure compliance with organizational standards (PII handling, audit, retention). 4. DevOps &amp; Lifecycle Management Use Fabric Git integration and Deployment Pipelines for CI/CD across dev/test/prod. Parameterize pipelines and environments; externalize configuration and secrets (Key Vault). Implement automated testing for data transformations and schemas. Drive release management, change control, and rollback strategies. 5. Collaboration &amp; Stakeholder Engagement Partner with analytics engineers and BI teams to design star schemas, semantic models, and DAX measures. Work with data source owners for SLAs, schema change management, and contracts. Translate business requirements into technical designs and document architecture decisions. Provide knowledge transfer, best practices, and support to data consumers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Skills &amp; Qualifications</h2><ul><li><strong>Technical Skills</strong> Microsoft Fabric (hands-on): OneLake, Lakehouse (Delta), Fabric Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, Semantic Models/Power BI, Monitoring Hub.</li><li><strong>Programming &amp; Querying</strong>: PySpark, SQL (T-SQL), Delta Lake operations; DAX familiarity is a plus.</li><li><strong>Modeling &amp; Architecture</strong>: Dimensional modeling, Data Vault or medallion patterns, data quality frameworks.</li><li><strong>Performance &amp; Ops</strong>: Partitioning, file formats (Parquet/Delta), caching/z-ordering, job orchestration, monitoring.</li><li><strong>DevOps</strong>: Git, Fabric Deployment Pipelines, YAML CI/CD (GitHub Actions/Azure DevOps), IaC exposure (Bicep/Terraform for non-Fabric infra).</li><li><strong>Security &amp; Governance</strong>: RLS/CLS, sensitivity labels, access patterns, audit/logging, lineage.</li><li><strong>Preferred Qualifications</strong> Experience with Power BI modeling (star schemas, relationships, calculation groups, DAX). Exposure to streaming/real-time: Eventstream, Real-Time Hub, KQL databases (if applicable). Experience integrating with external sources (SQL Server, SAP, Dataverse, REST APIs). Familiarity with Microsoft Purview for governance/lineage.</li><li><strong>Certifications</strong>: DP-600: Microsoft Fabric Analytics Engineer Associate (strongly preferred) DP-203: Data Engineering on Microsoft Azure (nice to have)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Job Summary</strong></p><p>We are seeking a detail-oriented and analytical Internal Auditor with experience in the Food &amp; Beverage (F&amp;B) industry to evaluate internal controls, ensure compliance with company policies and procedures, identify operational risks, and recommend improvements to enhance efficiency and safeguard company assets.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and execute risk-based internal audit plans for restaurants, caf s, production facilities, warehouses, and retail outlets.</li><li>Conduct operational, financial, inventory, and compliance audits across F&amp;B locations.</li><li>Evaluate the effectiveness of internal controls related to purchasing, inventory management, cash handling, sales, production, and payroll.</li><li>Verify compliance with company policies, internal procedures, and applicable laws and regulations.</li><li>Perform surprise cash counts, inventory counts, and branch inspections.</li><li>Review food cost, beverage cost, waste, spoilage, and inventory variance reports to identify unusual trends.</li><li>Assess procurement and supplier management processes to ensure transparency and cost efficiency.</li><li>Analyze sales transactions, discounts, voids, refunds, and promotional activities for irregularities.</li><li>Prepare detailed audit reports highlighting findings, risk assessments, root causes, and practical recommendations.</li><li>Follow up on audit findings to ensure timely implementation of corrective actions.</li><li>Assist management in identifying opportunities to improve operational efficiency and strengthen internal controls.</li><li>Investigate suspected fraud, misuse of assets, or policy violations when required.</li><li>Coordinate with Finance, Operations, HR, Procurement, and other departments during audit engagements.</li></ul><p><strong>Qualifications</strong></p><ul><li>Bachelor s degree in Accounting, Auditing, Finance, Business Administration, or a related field.</li><li>Minimum of 3 5 years of internal audit experience, preferably within the Food &amp; Beverage, Hospitality, or Retail industry.</li><li>Professional certifications such as CIA, CPA, ACCA, or equivalent are preferred.</li><li>Strong knowledge of internal control frameworks, audit methodologies, and risk assessment techniques.</li><li>Familiarity with inventory management systems and POS systems commonly used in the F&amp;B sector.</li><li>Proficiency in Microsoft Excel and ERP systems.</li></ul><p><strong>Skills &amp; Competencies</strong></p><ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Excellent report writing and communication skills.</li><li>Ability to work independently and manage multiple audit assignments.</li><li>Strong ethical standards, integrity, and confidentiality.</li><li>Ability to travel frequently to branches and operational sites.</li><li>Effective stakeholder management and interpersonal skills.</li><li>Time management and organizational skills.</li></ul><p><strong>Key Performance Indicators (KPIs)</strong></p><ul><li>Completion of the annual audit plan within agreed timelines.</li><li>Timely issuance of audit reports.</li><li>Percentage of audit recommendations implemented.</li><li>Reduction in recurring audit findings.</li><li>Accuracy and quality of audit documentation.</li><li>Improvement in compliance across audited locations.</li><li>Reduction in inventory shrinkage, cash discrepancies, and operational losses.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Only candidates who are qualified for this position are requested to submit their CVs.</p><p><strong>Qualifications</strong></p><ul><li>Bachelor s degree in Accounting, Auditing, Finance, Business Administration, or a related field.</li><li>Minimum of 3 5 years of internal audit experience, preferably within the Food &amp; Beverage, Hospitality, or Retail industry.</li><li>Professional certifications such as CIA, CPA, ACCA, or equivalent are preferred.</li><li>Strong knowledge of internal control frameworks, audit methodologies, and risk assessment techniques.</li><li>Familiarity with inventory management systems and POS systems commonly used in the F&amp;B sector.</li><li>Proficiency in Microsoft Excel and ERP systems.</li></ul><p><strong>Skills &amp; Competencies</strong></p><ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Excellent report writing and communication skills.</li><li>Ability to work independently and manage multiple audit assignments.</li><li>Strong ethical standards, integrity, and confidentiality.</li><li>Ability to travel frequently to branches and operational sites.</li><li>Effective stakeholder management and interpersonal skills.</li><li>Time management and organizational skills.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>About Us</b></p><br><br><p><span><span>We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, </span><span>commercial</span><span> and industrial spaces through HVACR technologies. We protect <span><span><span><span><span><span><span><span><span>temperature-sensitive</span></span></span></span></span></span></span></span></span> goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, </span><span>software</span><span> and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. </span></span></p><br><br><p><span><span>Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today!</span></span></p><br><br><p><b>Job Title:</b>&nbsp; Assembler&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p><br><p><b>SUMMARY</b></p><br><p>Manual duties related to placing parts on an assembly line process, checking defined machine specifications on the assembly line, or performing other related functions.&nbsp;</p><br><p><b>ESSENTIAL DUTIES AND RESPONSIBILITIES </b>include the following. Other duties may be assigned.</p><br><ul><li>Maintains safe and clean working environment, complying with safety rules</li><li>Execute job tasks as defined in work instructions posted in assigned work area (OMS document)</li><li>Flexibility to perform Non-Standard Work as directed by floor leader</li><li>Placement of component parts on assembly line as required by OMS (Operations Method Sheet)</li><li>Ability to achieve training milestones and complete training protocols</li><li>Acquire knowledge and perform work at multiple work stations or work areas assigned</li></ul><p><b>QUALIFICATIONS&nbsp; </b></p><br><p>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><br><p><b>EDUCATION and/or EXPERIENCE</b></p><br><p>High school diploma or GED required, along with previous manufacturing experience is preferred.</p><br><p><b>PHYSICAL DEMANDS&nbsp; </b></p><br><p>Ability to stand on hard surfaces for extended periods while performing functions of the job. While performing the duties of this job, the employee is frequently required to stand; walk; reach overhead with hands and arms; grasp; stoop; kneel; and/or crouch. Must meet job standards for visual ability, speaking, and hearing in a manufacturing environment.&nbsp; Employee must occasionally lift and/or move up to 65 pounds.&nbsp; Environmental conditions include flashing lights on machines and Powered Industrial Vehicles, random noises such as horns and alarms.</p><br><p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><br><p><b>Copeland is an equal opportunity employer</b>. We will not discriminate against any applicant or employee on the basis of race, sex, religion, age, national origin, color, disability, veteran status, or genetic information. We are committed to providing a workplace free of any discrimination or harassment.</p><br><p><b><span>Our Commitment to Our People</span></b></p><br><br><p><span><span>Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. </span><span>That’s</span><span> why everything we do is geared toward a sustainable future—for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial.</span></span></p><br><br><p><span><span>Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally.</span></span></p><br><br><p><span><span>Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible time off plans, including paid parental leave, vacation and holiday leave. </span></span></p><br><br><p><span><span>Together, we have the opportunity – and the power – to continue to revolutionize the technology behind air conditioning, </span><span>heating</span><span> and refrigeration, and cultivate a better future. Learn more about us and how you can join our team!</span></span></p><br><br><p><b>Our Commitment to Inclusion &amp; Belonging</b></p><br><p>At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce.&nbsp; Our employee resource groups play an important role in culture and community building at Copeland.</p><br><br><p><b><span>Work Authorization</span></b></p><br><br><p><span><span>Copeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.</span></span></p><br><br><p><b><span>Equal Opportunity Employer</span></b></p><br><br><p><span><span>Copeland is an Equal <span><span><span><span><span>Opportunity/Affirmative</span></span></span></span></span> Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.</span></span></p><br><br><p><span><span>If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: copeland.careers@copeland.com</span></span></p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.</p><p>Job Summary: The Grants Coordinator is responsible for the timely and effective management of a multi-donor grant portfolio. This position leads all functions of the grants unit at IRC Lebanon, inclusive of proposal development, reporting, portfolio management, and donor compliance. The Grants Coordinator reports to the Deputy Director for Programs (DDP) The position will work closely with all program leads plus the MEAL, partnerships, and finance departments.</p><p>Major Responsibilities:</p><p>Proposal Development:</p><ul><li>In collaboration with the DDP and regional/HQ colleagues, proactively identify new funding opportunities by monitoring and analyzing donor strategies and funding trends.</li><li>Support the DDP and program sector leads in the development of new program design.</li><li>Prepare for and lead Go/No Go meetings for funding opportunities as required.</li><li>Assist in ensuring that Go/No Go discussions and program design are consistent with the SAP partnership ambition and program approach.</li><li>Ensure robust and effective representation and resourcing of IRC s partnership strategy, approach and management in donor proposals and reports.</li><li>Oversee the development of all concept notes and proposals, acting as or delegating responsibility for lead writer or editor. Develop efficient process management tools for proposal development.</li><li>Outline and communicate clear roles and responsibilities and timelines for each department. Facilitate effective cross-departmental coordination.</li><li>Thoroughly review all proposal documents to ensure coherence throughout narratives, logframes, and budgets.</li><li>Act as focal point with the region and HQ during proposal review, editing, and submission.</li><li>Ensure all proposal outputs are accurate, complete, of high quality, and submitted on time.</li></ul><p>Grants Management:</p><ul><li>Act as focal point for communications with the region and HQ on all grants administration functions.</li><li>Review donor agreements and coordinate their review and signature with relevant offices. Coordinate the approval of pre-award spending as required.</li><li>Collaborate with the Partnership Coordinator to obtain any necessary donor approvals relating to partnerships.</li><li>Lead and/or support all project revisions, amendments, and budget realignments.</li><li>Participate in Project Cycle Meetings (PCM) as required, including project design, opening, implementation, closing, and learning meetings.</li><li>Maintain and disseminate a regularly updated grants tracker.</li><li>Ensure all departmental communication with IRC colleagues and donors is constructive, clear, and organized.</li><li>Maintain a well-organized and comprehensive information management and grants filing system.</li><li>Ensure IRC s internal Opportunity Tracking Information System (OTIS) is updated and maintained throughout the awards lifecycle</li><li>Participate in due diligence processes and collaborative partnership risk management as appropriate.</li><li>Strengthen the capacity of IRC and partner staff in grants management functions by facilitating trainings and providing targeted support as required.</li></ul><p>Donor Compliance:</p><ul><li>Provide programs and operations teams with routine technical guidance to ensure that all grants are implemented in compliance with IRC and donor regulations.</li><li>Coordinate with HQ on specialized compliance matters as required.</li><li>Proactively raise potential compliance issues to senior management; work closely with HQ compliance colleagues to resolve any related concerns.</li><li>Disseminate existing resources on donor compliance, liaise with regional counterparts for the development and updating of compliance cheat sheets for all grants.</li></ul><p>Reporting:</p><ul><li>Oversee the development and delivery of all internal and external reports in collaboration with the programs, finance, and MEAL departments.</li><li>Maintain a comprehensive reports tracker and regularly communicate with all relevant team members about upcoming deadlines and specific report requirements.</li><li>Lead the production of high-quality and well-written reports which meet donor and IRC requirements.</li><li>Thoroughly review and confirm that all reports and supplementary documents are complete and accurate.</li><li>Coordinate HQ, Regional Office, and technical unit reviews and approvals prior to donor submission.</li><li>Ensure strict compliance with internal and donor deadlines.</li></ul><p>Departmental Leadership and Staff Management:</p><ul><li>Directly supervise two Grants Managers</li><li>Lead the grants unit and provide professional development opportunities for staff as needed.</li><li>Ensure clear delineation of roles and responsibilities and logical portfolio allocation for all team members.</li><li>Coordinate performance management within the department and ensure a culture of high performance through staff engagement and accountability.</li><li>Oversee recruitment of new staff as required. Ensure comprehensive onboarding and training for new hires.</li><li>Maintain open and professional relations with team members, promoting a strong team spirit and providing oversight and guidance to enable staff to successfully perform in their positions.</li></ul><p>Key Working Relationships:</p><ul><li>Position Reports to: Deputy Director of Programs.</li><li>Position Supervises: Grants Managers.</li><li>Other Internal and/or external contacts: All staff and departments with Lebanon offices.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of five years of experience in grants management in a multi-donor, multi-sector working environment.</li><li>Demonstrated experience in an inter-departmental coordination role and the ability to communicate with and balance the priorities of a range of stakeholders.</li><li>Extensive experience leading the successful development of multi-sector funding proposals across a range of public and private donors.</li><li>Advanced skills in donor report drafting and compilation, including the coordination of inputs and across different departments.</li><li>Exceptional English writing and editing skills required. Able to draft and edit detailed documents for donor submission with minimal oversight.</li><li>In-depth knowledge of institutional donor compliance required.</li><li>Exceptional advance planning and organizational skills. Able to effectively prioritize and follow multiple activities and deadlines simultaneously.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Position Information • VA No.: UNDP/LBN/VA26/082 • Position Title: Agriculture Machinery Expert Tender Development and Technical Evaluation • Duty Station: Home based. • Duration: 3 months (with a total of 10 working days) • Vacancy Date of Issue: 02 June 2026 • Vacancy Closure Date: 09 June 2026 • National or International consultancy: National consultancy To review the full Terms of Reference (TOR), please follow link: https://drive.google.com/file/d/15fr6LxFzJV1jALFdgJLvXMXvhO5qLGRb/view Background Lebanon is experiencing a constantly evolving multi-layered crisis which is exacerbating long-term structural vulnerabilities and inequalities, leading to acute and increasingly visible humanitarian needs among the most vulnerable populations. Lebanon continues to face a protracted economic and financial crisis, which has been compounded by the aftershocks of conflict in late 2024, further undermining the food security of Lebanese residents and refugee populations. While hyperinflation has softened from its previous peaks, persistently high food prices remain a primary driver of food insecurity. As of September 2025, the year-on-year food inflation rate stood at 23.9%. Along with inflation, currency depreciation, income losses, damaged infrastructure, and significant cuts to humanitarian food assistance continue to negatively impact the capacity of different population groups to access food. According to the latest Integrated Phase Classification (IPC) analysis, it was projected that between July and October 2025, about 1.24 million people (including Lebanese, Syrian refugees, and Palestine refugees) would face acute food insecurity and be classified in IPC Phase 3 or above (Crisis or worse). This corresponds to 23% of the analyzed population, an increase from the 19% recorded in the October 2023 March 2024 period. This crisis has disproportionately affected the agricultural sector, exposing a systemic vulnerability: Lebanon's critical over-reliance on expensive, imported agricultural inputs, especially wheat seeds. This import dependency strains national food security, reduces farmer resilience, and hinders access to locally adapted, high-yield seed varieties. The Lebanese Agricultural Research Institute (LARI), the public institution mandated to produce certified seeds, is a critical national asset for food sovereignty. However, its national seed program has stalled due to a lack of public financing, creating a critical gap in the domestic food system. Within the framework of the Food Security Project, UNDP aims to strengthen the institutional capacity of the Lebanese Agricultural Research Institute (LARI) to enhance its operational efficiency, management systems, and service delivery. To achieve this, UNDP seeks to equip LARI staff with the necessary managerial, financial, and logistical skills through a comprehensive capacity-building programme. The training will target key personnel involved in management, finance, and operations, ensuring they acquire practical competencies to support effective project implementation, resource management, and decision-making. Accordingly, UNDP intends to engage a specialized consultant to design and deliver tailored training modules, conduct needs assessments, develop relevant materials, and evaluate the learning outcomes to ensure measurable improvements in LARI s institutional performance. Objectives The objective of this consultancy is to provide technical expertise to support the preparation of tender documents and the technical evaluation of agricultural machinery and spare parts procurement under the UNDP Food Security Project for LARI. Specifically, the assignment aims to ensure: Development of clear and compliant technical specifications aligned with LARI s needs and international standards Conduct of accurate and transparent technical evaluations of submitted bids Verification of quality, compliance, and compatibility of equipment and spare parts. Scope of work UNDP is seeking a Short-Term Individual Consultant to provide technical expertise for LARI s agricultural mechanization. The consultant will update spare parts tender documents to ensure fleet compatibility, conduct comprehensive technical evaluations for the procurement of new machinery, and evaluate bids for spare parts. The expert will ensure all technical specifications meet operational requirements and provide final recommendations to ensure the efficiency and sustainability of LARI s agricultural equipment. A. Update Spare Parts Tender Documents Review existing inventory lists and technical specifications for agricultural machinery spare parts at LARI stations. Update tender documents to ensure compatibility with specific make and models(e.g., tractors, harvesters). Refine the Bill of Quantities(BoQ) and compliance tables to meet international procurement standards. B. Technical Evaluation for Procurement of New Agriculture Machinery Review all technical bids submitted for the procurement of new agricultural equipment. Validate compliance against mandatory technical specifications(e.g., engine power, hydraulic capacity, safety features). Fill in the detailed technical evaluation reporting with clear justifications for the acceptance or rejection of each bid, in addition to the technical compliance sheet. C. Technical Evaluation for Procurement of Spare Parts Conduct a technical review of bids for spare parts for existing machinery. Verify the technical quality, part numbers, and suitability of the proposed items(OEM vs. equivalent). Assess the delivery timelines to ensure they align with LARI s operational seasons. Fill in the detailed technical evaluation reporting with clear justifications for the acceptance or rejection of each bid, in addition to the technical compliance sheet REPORTING The consultant shall submit task-based reports upon each assignment, which may include: Tasks performed and number of days utilized Technical assessment Equipment and asset validation reports Photo documentation Key findings and recommendations WORK PLAN Given the on-call nature of the assignment: The consultant shall respond to requests within the agreed timeframe Tasks and priorities will be defined by UNDP, following the expected outputs and deliverables.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>A minimum of bachelor s degree in Agriculture Engineering, Mechanical Engineering, or any other relevant field. A minimum of 8 years of relevant professional experience in agricultural machinery management, maintenance, or procurement. Language: Fluency in Arabic and English is mandatory (both oral and written)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>1. Annotated outline for the report, including proposed case-studies and a preliminary reference list. 2. First draft of the report 3. Final revised draft of the report, including case studies and reflecting ESCWA’s feedback and comments<br> Work Location<br>Remotley<br> Expected duration<br>3 months<br> Duties and Responsibilities<br>Objective ESCWA seeks to engage a consultant to support the drafting of a report which would constitute an input to ESCWA’s upcoming energy publication: “Enabling policies for inclusive, sustainable, and digitalized power grids and enhanced cross-border cooperation in the Arab region”. The analytical report would focus on the opportunities and challenges related to the digitalization of power grids in the Arab region, cross-border cooperation and regional integration, governance and policy frameworks for digitalized grids, and propose policy recommendations based on regional and international success stories and best practices. The report should also focus on aspects related to inclusion, resilience, and renewable energy integration, with particular attention to decentralized renewable energy, rural–urban disparities, and gender inclusion. The report should present policy-oriented, evidence-based content tailored to the Arab region and aligned with ESCWA’s analytical approach and editorial guidance. Duties and responsibilities • Under the overall supervision of the Cluster Lead and the direct guidance of the Chief of the Energy Section, the consultant will be responsible for the following overall duties Compile and assess relevant literature, data, policy documents, and institutional materials related to regional electricity interconnections, power-sector digitalization, grid governance, interoperability, cybersecurity, and enabling regulatory frameworks in the Arab region. • Examine capacity gaps in utilities, regulators, and institutions and identify targeted capacity‑building needs. • Assess how digitalization of power grids can address rural–urban electricity disparities, energy access, and affordability across different socio‑economic groups. • Integrate gender-responsive perspectives into the analysis. • Identify relevant regional and international success stories and best practices that can be used to support the analysis. • Prepare short and policy-oriented case-study boxes on selected Arab regional and international examples that illustrate inclusive digital grid governance, cyber‑resilient grid operations, renewable energy integration, and cross-border and regional electricity cooperation.. • Ensure that each section of the report is analytical, policy-relevant, clearly structured, and consistent with the agreed scope and style of the report.<br> Qualifications/special skills<br>Master's degree or equivalent degree related to energy, digitalization, or a related field is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 10 years of work experience in electricity, connectivity and digitalization or related to the above-mentioned fields is required. Excellent analytical, research, writing, and communication skills are required. Computer literacy is required.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Note: "Fluency" equals a rating of 'fluent' in all four areas (speak, read, write, and understand).<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Opportunity We are seeking an experienced Senior Trainer Open-Source Intelligence (OSINT), Digital Investigations &amp; Analytical Tradecraft to design, develop, and deliver advanced training programmes for governmental, public-sector, security, investigative, and analytical professionals. The successful candidate will strengthen participants capabilities in information collection, verification, analysis, reporting, and decision-making through practical, scenario-based training. The role may also include advisory and institutional capacity-development support aimed at strengthening analytical practices, workflows, and organizational capabilities.</p><p>You will</p><p>Training Design &amp; Delivery</p><ul><li>Design and deliver advanced training programmes, workshops, simulations, and practical exercises.</li><li>Develop curricula, lesson plans, participant manuals, facilitator guides, presentations, and assessment tools.</li><li>Adapt content to different levels of participant expertise and institutional requirements.</li><li>Evaluate participant performance and learning outcomes.</li></ul><p>Technical Areas of Expertise</p><p>The trainer must be capable of delivering training covering:</p><ul><li>Intelligence fundamentals, intelligence cycle, analytical workflows, and collection planning.</li><li>OSINT methodologies, source evaluation, verification, corroboration, and structured analytical techniques.</li><li>Online investigations, attribution methodologies, social media intelligence (SOCMINT), geolocation, chronolocation, and digital content verification.</li><li>Detection and analysis of misinformation, disinformation, influence operations, AI-generated content, and manipulated media.</li><li>Satellite imagery interpretation, GIS applications, aviation and maritime tracking, link analysis, network mapping, data visualization, and analytical reporting.</li><li>Intelligence reporting, briefing techniques, operational security (OPSEC), digital security, and ethical, legal, privacy, and human-rights considerations.</li><li>Integration of artificial intelligence tools into analytical and investigative workflows.</li></ul><p>Institutional Capacity Development</p><ul><li>Conduct training needs assessments and competency-gap analyses.</li><li>Support the development of analytical workflows, methodologies, SOPs, standards, and guidance documents.</li><li>Provide recommendations for sustainable capability development and knowledge-transfer mechanisms.</li><li>Deliver mentor, coach, and post-training advisory support where required.</li></ul><p>To Be Successful in The Role You Will Need</p><ul><li>10+ years of professional experience in OSINT, intelligence analysis, investigations, law enforcement, military intelligence, national security, digital investigations, or related fields.</li><li>Proven experience designing and delivering training programmes for governmental, public-sector, security-sector, law-enforcement, military, intelligence, or investigative audiences.</li><li>Native or near-native proficiency in Arabic and professional proficiency in English.</li><li>Demonstrated expertise in intelligence analysis, digital investigations, verification methodologies, geolocation, and SOCMINT.</li><li>Practical experience using GIS platforms, satellite imagery tools, link-analysis software, investigative technologies, and AI-enabled analytical tools.</li><li>Experience conducting training needs assessments and translating findings into training curricula and learning objectives.</li><li>Experience developing training materials, participant manuals, facilitator guides, SOPs, analytical guidance documents, or institutional capacity-development products.</li><li>Strong facilitation, presentation, curriculum-development, mentoring, and adult-learning skills.</li><li>Demonstrated understanding of legal, ethical, privacy, and human-rights considerations relevant to OSINT and digital investigations.</li></ul><p>Preferred Qualifications</p><ul><li>Experience working with international law-enforcement, intelligence, security, investigative, or multilateral organizations.</li><li>Previous experience with INTERPOL, Europol, UNODC, NATO, police academies, military academies, or similar institutions.</li><li>Experience delivering training in the MENA region.</li><li>Familiarity with Arabic-, English-, and French-language information environments.</li><li>Experience supporting investigations related to terrorism, violent extremism, organized crime, trafficking networks, illicit finance, cybercrime, sanctions evasion, border security, or conflict-related investigations.</li><li>Experience supporting the establishment, strengthening, or modernization of analytical, investigative, intelligence, or OSINT units.</li><li>Experience developing institutional policies, SOPs, analytical standards, knowledge-management systems, monitoring and evaluation frameworks, or organizational capability reviews.</li><li>Training-of-Trainers (ToT) certification or demonstrated ToT experience.</li><li>Relevant certifications in intelligence analysis, OSINT, GIS, investigations, cybersecurity, digital forensics, or related disciplines.</li><li>Security clearance or eligibility to obtain one, where applicable.</li></ul><p>Key Competencies</p><ul><li>Strong analytical and critical-thinking skills.</li><li>Ability to assess organizational analytical maturity and recommend practical improvements.</li><li>Ability to translate complex technical methodologies into practical learning outcomes.</li><li>Strong instructional design, facilitation, and communication skills.</li><li>Experience designing realistic investigative and analytical scenarios.</li><li>Strong report-writing, documentation, and stakeholder-engagement capabilities.</li><li>Cultural awareness and ability to work effectively with diverse audiences.</li><li>Ability to train using both commercial and open-source tools to support sustainability and institutional adoption.</li></ul><p>Deliverables</p><p>The selected trainer will be expected to:</p><ul><li>Conduct training needs assessments and competency-gap analyses, where required.</li><li>Develop training curricula, agendas, manuals, guides, presentations, assessments, and reference materials.</li><li>Deliver training sessions in Arabic, including practical exercises, simulations, and scenario-based learning activities.</li><li>Evaluate participant performance and produce competency evaluation reports.</li><li>Provide recommendations for institutional strengthening and future capacity-development activities.</li><li>Deliver mentoring and coaching support, where required.</li><li>Submit a final report summarizing activities, outcomes, lessons learned, and recommendations.</li><li>Provide a repository of training materials and resources for future use.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>10+ years of professional experience in OSINT, intelligence analysis, investigations, law enforcement, military intelligence, national security, digital investigations, or related fields.</li><li>Proven experience designing and delivering training programmes for governmental, public-sector, security-sector, law-enforcement, military, intelligence, or investigative audiences.</li><li>Native or near-native proficiency in Arabic and professional proficiency in English.</li><li>Demonstrated expertise in intelligence analysis, digital investigations, verification methodologies, geolocation, and SOCMINT.</li><li>Practical experience using GIS platforms, satellite imagery tools, link-analysis software, investigative technologies, and AI-enabled analytical tools.</li><li>Experience conducting training needs assessments and translating findings into training curricula and learning objectives.</li><li>Experience developing training materials, participant manuals, facilitator guides, SOPs, analytical guidance documents, or institutional capacity-development products.</li><li>Strong facilitation, presentation, curriculum-development, mentoring, and adult-learning skills.</li><li>Demonstrated understanding of legal, ethical, privacy, and human-rights considerations relevant to OSINT and digital investigations.</li><li>Experience working with international law-enforcement, intelligence, security, investigative, or multilateral organizations.</li><li>Previous experience with INTERPOL, Europol, UNODC, NATO, police academies, military academies, or similar institutions.</li><li>Experience delivering training in the MENA region.</li><li>Familiarity with Arabic-, English-, and French-language information environments.</li><li>Experience supporting investigations related to terrorism, violent extremism, organized crime, trafficking networks, illicit finance, cybercrime, sanctions evasion, border security, or conflict-related investigations.</li><li>Experience supporting the establishment, strengthening, or modernization of analytical, investigative, intelligence, or OSINT units.</li><li>Experience developing institutional policies, SOPs, analytical standards, knowledge-management systems, monitoring and evaluation frameworks, or organizational capability reviews.</li><li>Training-of-Trainers (ToT) certification or demonstrated ToT experience.</li><li>Relevant certifications in intelligence analysis, OSINT, GIS, investigations, cybersecurity, digital forensics, or related disciplines.</li><li>Security clearance or eligibility to obtain one, where applicable.</li></ul><p>Key Competencies</p><ul><li>Strong analytical and critical-thinking skills.</li><li>Ability to assess organizational analytical maturity and recommend practical improvements.</li><li>Ability to translate complex technical methodologies into practical learning outcomes.</li><li>Strong instructional design, facilitation, and communication skills.</li><li>Experience designing realistic investigative and analytical scenarios.</li><li>Strong report-writing, documentation, and stakeholder-engagement capabilities.</li><li>Cultural awareness and ability to work effectively with diverse audiences.</li><li>Ability to train using both commercial and open-source tools to support sustainability and institutional adoption.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

<p>A globally recognized luxury hospitality brand is seeking Chef de Partie who will be responsible for managing and supporting the pastry/dessert section within the Central Kitchen. The role assists the Pastry Chef in daily production activities, ensures consistent quality and presentation, maintains food safety and hygiene standards, and controls stock, costs, and wastage within the designated section. The Chef de Partie should be highly knowledgeable in pastry and dessert preparation, able to work efficiently in a fast-paced environment, and capable of guiding Demi Chefs de Partie and Commis while maintaining high operational standards.</p><p>Responsibilities</p><ul><li>Manage and support the daily operations of the assigned pastry and dessert section within the Central Kitchen.</li><li>Assist the Pastry Chef with daily production planning and execution.</li><li>Follow all opening, operating, and closing procedures and ensure compliance with established checklists.</li><li>Coordinate daily preparation requirements with the Pastry Chef and prioritize tasks accordingly.</li><li>Delegate tasks to Demi Chefs de Partie and Commis based on production schedules and mise-en-place requirements.</li><li>Ensure the workstation is fully equipped, clean, organized, and ready for production.</li><li>Prepare and oversee the preparation of doughs, batters, creams, fillings, pastry bases, cakes, pastries, and desserts according to approved recipes and production schedules.</li><li>Supervise the assembly of multi-component desserts, layered cakes, filled pastries, and other specialty products.</li><li>Supervise chocolate tempering and the preparation of chocolate decorations and confections according to standard recipes.</li><li>Monitor baking processes to ensure proper cooking, texture, consistency, and quality.</li><li>Ensure all products meet established standards for quality, presentation, portion size, and consistency.</li><li>Follow standard recipes, portion controls, production specifications, and storage requirements.</li><li>Ensure production quantities are aligned with the daily requirements of all outlets.</li><li>Conduct quality checks on ingredients, work-in-progress, and finished products.</li><li>Maintain appropriate stock levels and organization within the assigned section.</li><li>Conduct inventory counts and prepare requisition orders based on stock levels, consumption, and business requirements.</li><li>Assist with receiving and storing ingredients and supplies when required.</li><li>Inspect received products to ensure compliance with established quality and specification standards.</li><li>Ensure all products are properly stored, labeled, and dated with production and expiration information.</li><li>Apply FIFO principles when storing and using ingredients and finished products.</li><li>Monitor refrigerator and freezer temperatures and maintain accurate temperature records.</li><li>Control and minimize wastage and breakages and maintain the relevant records.</li><li>Ensure all products are properly portioned, packaged, labeled, and prepared for dispatch to outlets.</li><li>Maintain high standards of cleanliness, sanitation, food safety, and hygiene throughout the assigned section.</li><li>Support other Central Kitchen sections when required.</li><li>Attend daily briefings, debriefings, and training sessions as required.</li><li>Report operational, quality, equipment, or safety issues to the Pastry Chef.</li><li>Maintain positive and professional relationships with colleagues and promote effective teamwork.</li><li>Perform other related duties as assigned by management.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Degree or diploma in Culinary Arts, preferably with a specialization in Pastry or Desserts.</li><li>2 4 years of experience as a Chef de Partie, preferably with experience in pastry and dessert preparation within a Central Kitchen, bakery, pastry shop, hotel, or similar food production environment.</li><li>Strong knowledge of pastry and dessert preparation techniques.</li><li>Good knowledge of food safety, hygiene, sanitation, and HACCP principles.</li><li>Strong understanding of standard recipes, portion control, storage procedures, and FIFO practices.</li><li>Strong organizational and time-management skills.</li><li>Excellent attention to detail and commitment to quality.</li><li>Ability to manage and organize an assigned kitchen station effectively.</li><li>Ability to supervise and guide Demi Chefs de Partie and Commis.</li><li>Creative and innovative approach to pastry and dessert preparation.</li><li>Strong problem-solving and decision-making skills.</li><li>Self-motivated, proactive, and able to work independently.</li><li>Strong teamwork and communication skills.</li><li>Ability to work efficiently under pressure in a fast-paced kitchen environment.</li><li>High level of professionalism, integrity, and confidentiality.</li><li>Good command of English and the local language. Knowledge of additional foreign languages is considered an advantage.</li><li>Ability to stand and walk for extended periods.</li><li>Neat, clean, and well-groomed appearance.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>