وظائف لحملة الماجستير

The Chief Accountant will be responsible for overseeing all accounting and financial operations of the organization, ensuring the accuracy and integrity of financial records, compliance with applicable regulations, and the efficient management of financial resources. <br>S/he will supervise the accounting team, monitor financial reporting processes, manage budgeting and cash flow activities, and support management in strategic financial decision-making. The Chief Accountant will play a key role in maintaining strong internal controls, optimizing financial performance, and ensuring compliance with local tax laws and accounting standards. <br>Preference will be given to candidates with previous experience in hospital or healthcare environments, demonstrating familiarity with healthcare accounting practices, insurance claims reconciliation, medical billing processes, and healthcare financial reporting. <br> <br>Key Responsibilities: <br>• Oversee and manage the day-to-day operations of the accounting department. <br>• Ensure accurate and timely preparation of monthly, quarterly, and annual financial statements. <br>• •Monitor and maintain the general ledger, accounts payable, accounts receivable, payroll, and fixed assets records. <br>• Prepare and review financial reports, budgets, forecasts, and cash flow projections. <br>• Ensure compliance with Lebanese accounting standards, tax regulations, and statutory requirements. <br>• Coordinate and manage external audits, tax audits, and regulatory inspections. <br>• Develop, implement, and monitor internal financial controls and accounting procedures. <br>• Reconcile bank accounts, supplier accounts, customer accounts, and intercompany transactions. <br>• Supervise the preparation and submission of tax declarations, VAT returns, payroll taxes, and other regulatory filings. <br>• Monitor cash management activities and optimize working capital utilization. <br>• Analyze financial performance and provide recommendations to management for cost optimization and operational efficiency. <br>• Support budgeting and financial planning processes across departments. <br>• Ensure proper documentation and maintenance of accounting records and supporting documents. <br>• Coordinate with banks, auditors, government authorities, insurance companies, and external stakeholders as required. <br>• Assist management in strategic financial planning and decision-making. <br>• Train, mentor, and supervise accounting staff to ensure high performance and continuous professional development. <br>• Maintain confidentiality of financial information and uphold the highest ethical and professional standards. <br>• Stay updated on accounting regulations, tax laws, financial reporting standards, and industry best practices. <br>• Support continuous improvement initiatives aimed at enhancing financial processes and reporting accuracy. <br> <br>Qualifications: <br>Education: Bachelor’s degree in Accounting, Finance, or a related field. Master’s Degree is a plus <br> Experience: <br>• Minimum of 5 years of experience in a similar role. <br>• Previous experience in a hospital, healthcare institution, or medical center is highly preferred. <br>Knowledge: <br>• Strong knowledge of financial reporting, budgeting, taxation, and internal controls. <br>• Proficiency in accounting software and ERP systems. <br>• Professional certification such as CPA, ACCA, CMA, or equivalent is required. <br>Skills: <br>• Excellent analytical, organizational, and problem-solving skills. <br>• Strong leadership and team management capabilities. <br>• Advanced proficiency in Microsoft Excel and financial reporting tools. <br>• Excellent communication and interpersonal skills. <br>• Ability to work under pressure and meet strict deadlines. <br>• High level of integrity, professionalism, confidentiality, and attention to detail. <br>Languages: Fluency in English, written and spoken is required. Knowledge of French or other languages is an advantage

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The post is located at the Programme Office in Lebanon, in Beirut under the UNODC Regional Office for the Middle East and North Africa (ROMENA). Within delegated authority, the Programme Officer (Head of Programme Office in Lebanon will be responsible for overseeing the overall implementation of UNODC Programmes and activities in Lebanon. The incumbent will also act as the Head of the UNODC Programme Office in Lebanon and represent UNODC vis-a-vis the Government of Lebanon and the international community in Lebanon. The Programme Coordinator works under the overall guidance of the Regional Representative for the Middle East and North Africa (ROMENA), and under the direct supervision of the Deputy Regional Representative. The incumbent is a member of the relevant United Nations Country Team (UNCT) under the strategic guidance and coordination of the United Nations Resident Coordinator (UNRC). In this capacity, the incumbent leads UNODC's engagement in UN common country planning, programming, funding, monitoring and evaluation activities and actively contributes to the establishment of the Common Country Analysis and United Nations Sustainable Development Cooperation Framework (CCA and UNSDCF) and related joint workplan, resource mobilization and communications strategies and plans as well as the Business Operations Strategy especially under the UN reform and the 2030 Agenda. For more information on UNODC, please visit www.unodc.org</p><p>Responsibilities</p><p>Within assigned authority, the incumbent will be responsible for the overall implementation and direction of UNODC projects and initiatives in Lebanon under the Regional Framework for Arab States. S/he will be responsible for the following specific tasks:</p><ul><li>Ensure the strategic direction and management of the programme for Lebanon and contribute to expand and raise resources for the Lebanon Programme across UNODC mandates with financial support from governments, international organizations, member states and private sector.</li><li>Under the leadership of the respective Regional Representative and Deputy Representative, act as Head of Office representing UNODC vis- -vis the national counterparts, the UN, the international community and other partners working towards national, regional and inter-regional long-term capacity-building in UNODC mandates and in particular in drug control and crime prevention, in order to promote adherence to and ensure consistency with the terms of the United Nations conventions, drug control treaties, the Conventions against Transnational Organized Crime (UNTOC), Corruption (UNCAC) and cybercrime, the international instruments to counter terrorism and the UN standards and norms in criminal justice and crime prevention.</li><li>Translate programmatic objectives produced by ROMENA in efficient and viable technical assistance and policy development work for Lebanon and support ROMENA in the establishment of the strategic direction and expansion of cooperation in the context of the UNODC Regional Programme for the Arab States.</li><li>Contribute towards UN-wide strategic planning and cooperation in Lebanon and advocate for drugs/crime related issues to be embedded in key UN programmatic instruments such as the United Nations Common Country Analysis; Sustainable Development Cooperation Framework; and contribute to the Efficiency Roadmap goals (i.e. Business Operations Strategy annual review; Common Back Offices/Local Shared Service Centres; Common Premises) as well as UN common goals such as women empowerment, gender equality.</li><li>Coordinate and liaise with UNODC field offices and global programs, as well as relevant units at UNODC Headquarters (HQ), the authorities of the host country, and other relevant international and regional actors to facilitate project implementation and create synergies in this regard.</li></ul><p>Advocacy</p><ul><li>Establish close partnership with the national counterparts in Lebanon, manage and coordinate communications with governments, other UN agencies, international organizations, and diplomatic missions on drug control, crime prevention and criminal justice policy issues and the broader UNODC mandate.</li></ul><p>Programme Implementation</p><ul><li>Coordinate, oversee, and monitor the planning the budgeting and the implementation of the UNODC portfolio in Lebanon, including but not limited to drug control; countering human trafficking/smuggling of migrant; countering corruption; prison reform; juvenile justice; countering maritime crime and border management.</li><li>Lead and manage the implementation of the crime prevention and criminal justice programme in Lebanon, ensuring effective human rights and gender mainstreaming across all interventions, and maintaining oversight of programme delivery, budgets, expenditures, and partnerships with national counterparts and donors.</li><li>Monitor and analyze programme and project development and implementation; identify risks challenges to be addressed and propose corrective actions.</li><li>Identify and assess technical assistance strategies of donors active in criminal justice and crime prevention.</li><li>Design coordinate and support training and capacity-building activities for criminal justice actors, including the development of technical materials and the delivery of interregional, regional, and national training activities.</li><li>Ensure effective financial management, fund monitoring, and compliance with reporting requirement of the projects in Lebanon meeting related reporting obligations and coordinate timely projects reviews and revisions as required.</li><li>Engage with funding partners at national and international level to expand and raise resources for the crime prevention, criminal justice portfolio.</li><li>Collect and analyze data to identify trends and patterns. Provide insights through graphs, charts, tables, and reports using data visualization methods to support data-driven planning, decision-making, and reporting.</li><li>Draft and review a variety of high quality and timely written outputs, such as background papers, policy proposals, official correspondence, working papers, mission reports, presentations, and organize, participate in, and deliver presentations at policy-making, expert group, and programme- and project-related meetings, workshops, and discussions.</li><li>Promote gender equality and mainstream gender across all programmatic activities and policies in line with UNODC Gender Strategy.</li></ul><p>Managing the Programme Office</p><ul><li>Provide oversight in managing the financial, physical and human resources of the local UNODC office under his/her supervision in line with the established policies and delegated authority in Lebanon</li><li><br></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Education</h2><p>Advanced university degree (Master s degree or equivalent) in criminology, law, social sciences or related field is required. A first-level university degree in similar fields, in combination with two additional years of qualifying experience, may be accepted in lieu of the advanced university degree.</p><h2>Job - Specific Qualification</h2><p>Not available.</p><h2>Work Experience</h2><ul><li>A minimum of five years of relevant, progressively responsible professional work experience, in implementing projects/programs in international technical cooperation in criminal justice and crime prevention and strengthening criminal justice systems is required.</li><li>Experience in the delivery of capacity-building, training and advisory services training and providing advice and assistance to national criminal justice and crime prevention organizations is required.</li><li>Experience in fund-raising and in managing projects funded by international funding partners, including the European Union, intergovernmental or international organizations is desirable.</li><li>Experience in team and performance management is desirable</li><li>Experience in data analytics or related areas is desirable.</li></ul><h2>Languages</h2><p>English and French are the working languages of the United Nations Secretariat. For this job opening, English and Arabic are required.</p><p></p></section>

Job Description <br>General Objective <br> <br>The Financial Reporting Officer ensures the accurate recording, monitoring, and reconciliation of grant-related financial data, safeguarding compliance with internal procedures and donor requirements. The role supports transparent financial tracking, maintains organized documentation systems, and contributes to timely and reliable financial reporting to facilitate effective project implementation and accountability. <br> <br>General Tasks <br> <br>1. Ensure the capitalization of all the records of the grants in progress: <br> <br>- Ensure accurate capitalization of all records related to grants in progress. <br> <br>- Collect and record all supporting documents necessary for effective reporting and monitoring of grants, including invoices, receipts, bank statements, payroll records, and contracts. <br> <br>- Guide and lead the finance assistant in following up on outstanding documentation with field teams. <br> <br>- Identify and allocate accounting data related to covered grants. <br> <br>- Maintain a comprehensive database of financial elements for each grant, including general ledger extracts, transaction lists, spending plans, and financial budget follow-up reports. <br> <br>- Perform timely classification and filing of all relevant documentation. <br> <br>- Ensure the availability of funds for ongoing projects. <br> <br> <br> <br>2. Payment processing and ensuring the validity of documents and their compliance with the financial regulations and procedures <br> <br>- Conduct monthly reconciliations to ensure records align with bank statements and that the General Ledger (GL) matches the transaction list. <br> <br>- Support the Senior Finance Officer in facilitating donor auditing missions. <br> <br>- Request project payments in accordance with SOPs and organizational procedures. <br> <br>- Process and release staff salaries allocated to relevant grants. <br> <br> <br>3. Ensure sound reporting of financial data according to the requirements and the calendar of donors <br> <br>- Ensure compliance with donor-specific requirements and templates. <br> <br>- In coordination with the Senior Finance Officer, communicate financial progress reports to project coordinators and managers in a timely and accurate manner. <br> <br>- Identify and address irregularities or unclear regulations and reports. <br> <br>- Compile and report all relevant data in accordance with donor and partner requirements. <br> <br>- Update the financial progress chart of projects based on donor-set indicators. <br> <br>Requirements <br>Skill set and competencies <br> <br>- Proficiency in financial report drafting techniques <br> <br>- Proven experience in financial management and reporting <br> <br>- Strong understanding of financial regulations and procedures <br> <br>- Excellent organizational skills and strong attention to detail <br> <br>- Proficiency in financial software and Microsoft Office Suite <br> <br>- Strong communication and interpersonal skills <br> <br>- Knowledge of donor compliance requirements and grant financial guidelines <br> <br>- Experience in financial reconciliation (bank, GL, transaction matching) <br> <br>- Strong analytical skills and ability to detect discrepancies or irregularities <br> <br>- Ability to manage multiple grants simultaneously under strict deadlines <br> <br>- High level of integrity and respect for confidentiality <br> <br>- Understanding of internal control and audit preparation processes <br> <br>- Problem-solving and critical thinking abilities <br> <br>Languages <br>Arabic & English are required, French is a plus. <br> <br>Level of Education and Experience <br>Bachelor’s Degree or equivalent. Master’s degree is a plus. Major in Management, Finance, Accounting or any related field. <br>2 to 5 years of experience in NGO fields. <br> <br>Working conditions <br>- Tools and Software used : MS Office (Especially MS Excel), accounting software (SAP is a plus) <br>- Workplace : Jisr El Bacha, Primarily Office based. <br>- Working Schedule : Monday Till Friday, from 9h am till 5pm <br>- Type of contract : 1 year contract (Renewable depending on performance)

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>The Position:</strong></p><br><p>Under the direct supervision of the Sexual and Reproductive Health Specialist, Lebanon office the intern will support the SRH team fulfilling below tasks:</p><br><ul> <li>Assist in monitoring the GlobeMed-implemented secondary care program at governmental hospitals by analyzing patient data and beneficiary satisfaction surveys&nbsp;</li> <li>Coordinate field visits to governmental hospitals, facilitating direct consultations and meetings with healthcare providers, hospital administrators, and beneficiaries.</li> <li>Track and follow up on administrative workflows for the UNFPA secondary care program –</li> <li>Support monitoring the progress of SRH projects and interventions by tracking reporting deadlines, ensuring the completeness of monitoring sheets, and consolidating routine programmatic data.</li> <li>Provide administrative and logistical support for SRH and GBV-SRH training sessions, including managing registrations, coordinating venues/virtual platforms, and compiling participant feedback.</li> <li>Facilitate the logistics, and administrative processes for workshops, meetings, and conferences.</li> <li>Gather and compile SRH-related information and data, conducting basic analyses as requested.</li> <li>Provide day-to-day support to the SRH team on administrative and operational tasks as needed.</li></ul><p>A work-plan with achievements for the duration of the Internship and learning opportunities will be agreed upon. Periodic progress meetings will lead to a beneficial environment for the Intern enhancing her/his skills and capacity in areas related to UNFPA’s mandate.</p><br><p><strong>About UNFPA and How You Can Make a Difference:</strong></p><br><p>UNFPA is the lead United Nations agency for delivering a world where every pregnancy is intended, every childbirth is safe, and every young person's potential is fulfilled. The UNFPA Strategic Plan for 2026-2029 articulates the organization’s response to a complex global environment, providing a roadmap for resilience and renewal. It is designed to accelerate the implementation of the Programme of Action of the International Conference on Population and Development (ICPD) and the achievement of the Sustainable Development Goals by 2030. This mandate is pursued through a focus on four interconnected outcomes: ending the unmet need for family planning; ending preventable maternal deaths; ending gender-based violence and harmful practices; and adapting to demographic change through evidence and rights-based policies.</p><br><p><strong>You would be responsible for:</strong></p><br><p>The intern will fulfill a combination of data-driven analytical assignments and professional coordination support:</p><br><ul> <li><strong>Patient Data Analytics:&nbsp;</strong>Conduct robust data extraction, cleaning, and quantitative analysis of beneficiary and patient datasets received from the GlobeMed platform across participating governmental hospitals. Identify key epidemiological and demographic trends, hospital utilization rates, and operational gaps. Support in literature review and data analysis for SRH topics</li> <li><strong>Satisfaction Survey Management:&nbsp;</strong>Systematically compile, process, and follow up on the results of beneficiary satisfaction surveys. Perform analysis on patient feedback to measure quality of care and identify areas requiring immediate intervention or adjustments.</li> <li><strong>Evidence-Based Reporting:&nbsp;</strong>Formulate high-quality summary reports, presentations, and statistical briefs based on findings from patient data and surveys to inform the SRH team's strategic response and support the overarching goal of reducing maternal and newborn morbidity and mortality.</li> <li><strong>Stakeholder Coordination:&nbsp;</strong>Assist the SRH Specialist in maintaining active communication pipelines and coordination mechanisms with the supported governmental hospitals and designated Globemed operational focal points. Support UNFPA SRH team in organizing workshops, meetings, conferences, etc</li> <li><strong>Monitoring &amp; Documentation Support:&nbsp;</strong>Schedule regular programmatic calls, stakeholder updates, and field monitoring visits. Responsible for ensuring accurate documentation of meeting minutes, tracking program milestones, and systematically following up on agreed action points. Support monitoring of SRH training program and ensure proper documentation</li></ul><p><strong>Qualifying for an Internship</strong></p><br><p>An intern must meet the following educational and other eligibility requirements:</p><br><p><u>Educational requirements</u></p><br><p>a. Enrolled or recently graduated with a Master’s in Public Health, preferably with a concentration in epidemiology/ biostatistics .&nbsp;</p><br><p><u>Other eligibility requirements</u></p><br><p>b.&nbsp;Demonstrate interest in the field of development, public health, or reproductive health</p><br><p>c. Demonstrate written and spoken proficiency in (English and Arabic)&nbsp;</p><br><p>d. Demonstrate ability to adapt to new environments and to establish and maintain good working relations with individuals of different cultural backgrounds.</p><br><p><strong>Have:</strong></p><br><p><strong>Technical Skills: </strong>Proven academic or practical experience working with data analysis tools and software (e.g., Excel) and generating clean statistical summaries.</p><br><p><strong>Core Competencies:&nbsp;</strong>Analytical, conceptual, and technical writing skills; ability to translate numerical trends into clear narrative takeaways.</p><br><p><strong>Interpersonal Skills:&nbsp;</strong>Demonstrated initiative, sound judgment, high accountability, and the ability to work effectively as part of a multicultural team. Prior experience volunteering or working with development or public health agencies is a strong asset.</p><br><p><strong>Learning Elements:</strong></p><br><p>Upon completion of the assignment, and depending on its duration, the Intern will gain the following knowledge assets:</p><br><ol> <li>Increased understanding of the UNFPA and the Programme Division within UNFPA</li> <li>Understand the UNFPA mandate and policies, including regional set-up&nbsp;</li> <li>Understand and familiarize with UNFPA Governance and Executive Board&nbsp;</li> <li>Understand UNFPA programme design and delivery mechanisms</li> <li>Understand the dynamics of operational and programme support and communications to the field, and at the level of HQ</li> <li>Learn UN technical language, working procedures, and coordination mechanisms&nbsp;</li> <li>Write and formulate substantive documents</li> <li>Network with UN colleagues&nbsp;</li> <li>Work experience as a team member in a multicultural setting</li></ol><p><strong>Financial Aspects:</strong></p><br><p>Interns do not receive a salary or any other form of remuneration from UNFPA. The costs associated with an intern's participation in the programme must be assumed either by the nominating institution, which may provide the required financial assistance to its students, or by the students themselves, who will have to meet living expenses as well as make their own arrangements for accommodation, travel and other requirements. However, they receive a stipend to help cover basic daily expenses related to the internship, if not financially supported by any institution or programme, such as a university, government, foundation, or scholarship programme. The stipend is based on the intern’s agreed place of work, which may be different from the duty station of the hiring office in cases of remote arrangements.&nbsp;</p><br><p>In addition, applicants must have medical insurance for the duration of the internship. Proof of insurance will need to be submitted before the internship begins. UNFPA does not provide medical insurance for interns.&nbsp;</p><br><p><strong>UNFPA Work Environment:</strong></p><br><p>UNFPA provides a work environment that reflects the values of gender equality, diversity, integrity and healthy work-life balance. We are committed to ensuring gender parity in the organization and therefore encourage women to apply. Individuals from the LGBTQIA+ community, minority ethnic groups, indigenous populations, persons with disabilities, and other underrepresented groups are highly encouraged to apply. UNFPA promotes equal opportunities in terms of appointment, training, compensation and selection for all regardless of personal characteristics and dimensions of diversity. Diversity, Equity and Inclusion is at the heart of UNFPA's workforce - click&nbsp;here&nbsp;to learn more.</p><br><p><strong>Disclaimer:</strong></p><br><p>UNFPA does not charge any application, processing, training, interviewing, testing or other fee in connection with the application or recruitment process and does not concern itself with information on applicants' bank accounts.</p><br><br> </div>

<p>Department: Graduate Council Grade: Above Grade 12 Basic Functions: Responsible esponsible for optimizing graduate student recruitment and admission related processes and modules on Slate by Technolutions. This role combines technical system management with data-driven enrollment strategy, ensuring an efficient applicant experience while maximizing conversion rates across the admissions funnel. 1. Duties Performed: Oversees applicant lifecycle management from inquiry through enrollment (including record management, document processing, and credential verification), identifying gaps bottlenecks, and implement data-driven improvements after securing the needed approvals. Optimizes graduate CRM processes and configurations within the Slate platform in compliance with applicable policies and requirements (including building and maintaining application forms and portals, configuring reader workflows, developing and maintaining queries and reporting dashboards, building marketing communication campaigns and events to support outreach initiatives) in collaboration with the relevant stakeholders. Translates business requirements into system solutions by converting operational needs into functional CRM configurations and enhancements. Contributes to integrations and data flow with the (Banner) Student Information System and other platforms. Ensures data integrity and system accuracy through validation, data cleanup, and continuous monitoring. Analyzes data, metrics, and trends. Helps structure diverse applicant data into meaningful segments and uses these insights to support targeting, outreach, and admissions strategies. Executes and optimizes multi-channel communication campaigns, communications with applicants and staff, messaging and automated workflows by leveraging testing, analytics, and performance assessments. Oversees reporting and analytics efforts by developing dashboards and reports to support data-informed recruitment and admissions decision-making by faculties and planning. Evaluates system performance and recommends enhancements by troubleshooting, enforcing change control, and maintaining configuration best practices. Trains and supports users on CRM tools and best practices while promoting adoption. Performs other related duties as requested. 2. Work Contacts: Regular contacts with staff in the Graduate Council, Faculties/ Schools, AUB Online, Dubai Academic and Executive Hub, the Offices of Admissions and Financial Aid, and the Office of IT. 3. Independence of Operation: Reports to the Director of the Graduate Council. 4. Supervisory Responsibility: None. 5. Physical Effort: Minimal. 6. Work Conditions: Clean and pleasant.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Minimum Requirements:</strong> Bachelor s Degree in Computer Science, Computer Engineering, or related field. Master s Degree is preferred. Five years of relevant work experience such as in student enrolment, preferably in higher education settings. Knowledge of CRM systems, database operations (Banner Student Information System), Microsoft Office applications, Oracle, SQL, HTML/CSS, PowerBi, Python, and Java. Familiarity with Application Programming Interfaces (APIs) or system integrations. Experience with reporting tools and data visualization. Strong interpersonal, data analysis and presentation skills. Ability to deliver quality customer service to diverse stakeholders with high sense of accountability. Ability to communicate effectively both verbally and in writing in English. Prioritizes and multitasks effectively with attention to detail, teamwork, flexibility and positive disposition. Ability to handle sensitive information with discretion and confidentiality. Experience with Slate by Technolutions is a plus. Focus on Process optimization is a plus.</p>

<p><h4>About Noema Consulting</h4> <p>Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking. Leveraging deep expertise in digital transformation, data analytics & AI, SAP solutions, and quality assurance & support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.</p> <h4>The role</h4> <p>The Senior SAP CDS Consultant supports SAP Analytics Cloud initiatives by designing, developing, and optimizing robust CDS views and data models that enable accurate, efficient, and scalable reporting and analytics. The role involves translating business and technical requirements into high-quality SAP data solutions, ensuring data reliability, performance, and alignment with SAC reporting needs.</p> <p>This position requires strong hands-on expertise in SAP Core Data Services, data modeling, and data management, along with the ability to collaborate closely with business stakeholders, functional teams, and technical teams. It also includes ownership of CDS development activities, performance optimization, data quality, and the delivery of reliable solutions that support data-driven decision-making.</p> <h4>Key responsibilities</h4> <li>Lead the design, development, and enhancement of SAP CDS views and data models to support SAC reporting and analytics requirements.</li> <li>Collaborate with SAC architects, business analysts, data stewards, and technical teams to translate business needs into efficient CDS-based data models.</li> <li>Optimize CDS views for performance, scalability, and usability in SAC dashboards, stories, and reports.</li> <li>Support data integration activities and ensure data consistency, accuracy, and availability across SAP systems used for SAC initiatives.</li> <li>Provide technical guidance and mentoring to junior developers and other team members involved in data modeling and reporting activities.</li> <li>Perform code reviews, apply best practices, and ensure adherence to SAP development standards.</li> <li>Troubleshoot and resolve complex data-related, performance, and reporting issues in collaboration with cross-functional teams.</li> <li>Document development activities, maintain version control, and ensure alignment with internal governance and quality standards.</li> <li>Stay up to date with SAP technologies, CDS enhancements, and SAC capabilities to continuously improve data management and reporting solutions.</li> <h4>Requirements</h4> <p><strong>Experience:</strong></p> <li>5+ years of experience in SAP development with a focus on CDS views and data modeling in SAP S/4HANA environments.</li> <li>Experience optimizing CDS views for analytical performance and complex business use cases.</li> <li>Experience with SAP BW/4HANA or other SAP BI tools is a plus.</li> <p><strong>Educational background:</strong></p> <li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li> <li>Relevant SAP certifications in ABAP or SAC are desirable.</li> <p><strong>Competencies:</strong></p> <p><strong>Technical excellence:</strong></p> <li>Strong understanding of SAP Analytics Cloud architecture and data consumption patterns.</li> <li>Proficiency in ABAP programming and CDS development tools, including annotations, associations, and extensions.</li> <li>Knowledge of data management principles, data governance, and ETL processes.</li> <p><strong>Behavioural/core:</strong></p> <li>Analytical thinking and problem-solving mindset.</li> <li>Excellent communication with business and technical stakeholders.</li> <li>Cross-functional collaboration.</li> <li>Ownership, accountability, and attention to detail.</li> <li>Technical leadership and mentoring ability.</li> <li>Continuous learning mindset.</li> <h4>Benefits</h4> <li>A fully remote work environment.</li> <li>The opportunity to contribute to international projects for global clients.</li> <li>A collaborative, multicultural team setting.</li> <li>The chance to take ownership and make a real impact.</li> <li>Exposure to experienced professionals and high-quality delivery standards.</li> <li>A culture built on collaboration, professionalism, and continuous improvement.</li></p><p></p>

<p><h4>About Noema Consulting</h4> <p>Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking. Leveraging deep expertise in digital transformation, data analytics & AI, SAP solutions, and quality assurance & support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.</p> <h4>The role</h4> <p>The Senior SAP CDS Consultant supports SAP Analytics Cloud initiatives by designing, developing, and optimizing robust CDS views and data models that enable accurate, efficient, and scalable reporting and analytics. The role involves translating business and technical requirements into high-quality SAP data solutions, ensuring data reliability, performance, and alignment with SAC reporting needs.</p> <p>This position requires strong hands-on expertise in SAP Core Data Services, data modeling, and data management, along with the ability to collaborate closely with business stakeholders, functional teams, and technical teams. It also includes ownership of CDS development activities, performance optimization, data quality, and the delivery of reliable solutions that support data-driven decision-making.</p> <h4>Key responsibilities</h4> <li>Lead the design, development, and enhancement of SAP CDS views and data models to support SAC reporting and analytics requirements.</li> <li>Collaborate with SAC architects, business analysts, data stewards, and technical teams to translate business needs into efficient CDS-based data models.</li> <li>Optimize CDS views for performance, scalability, and usability in SAC dashboards, stories, and reports.</li> <li>Support data integration activities and ensure data consistency, accuracy, and availability across SAP systems used for SAC initiatives.</li> <li>Provide technical guidance and mentoring to junior developers and other team members involved in data modeling and reporting activities.</li> <li>Perform code reviews, apply best practices, and ensure adherence to SAP development standards.</li> <li>Troubleshoot and resolve complex data-related, performance, and reporting issues in collaboration with cross-functional teams.</li> <li>Document development activities, maintain version control, and ensure alignment with internal governance and quality standards.</li> <li>Stay up to date with SAP technologies, CDS enhancements, and SAC capabilities to continuously improve data management and reporting solutions.</li> <h4>Requirements</h4> <p><strong>Experience:</strong></p> <li>5+ years of experience in SAP development with a focus on CDS views and data modeling in SAP S/4HANA environments.</li> <li>Experience optimizing CDS views for analytical performance and complex business use cases.</li> <li>Experience with SAP BW/4HANA or other SAP BI tools is a plus.</li> <p><strong>Educational background:</strong></p> <li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li> <li>Relevant SAP certifications in ABAP or SAC are desirable.</li> <p><strong>Competencies:</strong></p> <p><strong>Technical excellence:</strong></p> <li>Strong understanding of SAP Analytics Cloud architecture and data consumption patterns.</li> <li>Proficiency in ABAP programming and CDS development tools, including annotations, associations, and extensions.</li> <li>Knowledge of data management principles, data governance, and ETL processes.</li> <p><strong>Behavioural/core:</strong></p> <li>Analytical thinking and problem-solving mindset.</li> <li>Excellent communication with business and technical stakeholders.</li> <li>Cross-functional collaboration.</li> <li>Ownership, accountability, and attention to detail.</li> <li>Technical leadership and mentoring ability.</li> <li>Continuous learning mindset.</li> <h4>Benefits</h4> <li>A fully remote work environment.</li> <li>The opportunity to contribute to international projects for global clients.</li> <li>A collaborative, multicultural team setting.</li> <li>The chance to take ownership and make a real impact.</li> <li>Exposure to experienced professionals and high-quality delivery standards.</li> <li>A culture built on collaboration, professionalism, and continuous improvement.</li></p><p></p>

<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>

<p><h4>Mindrift is looking for highly skilled senior Python data scraping engineers</h4> <p>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>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Job Description</p><br><u><span>Position: </span></u>As Customer Service / Supply Chain - Sr. Specialist, you’ll be a key player in our Middle East Turkey &amp; Africa Customer Service team helping us achieve our strategic goals and fostering an environment where operational excellence &amp; collaboration thrive.You will partner with our Customers, Business teams, Supply Chain and Finance, and play a pivotal role in providing financial estimates, achieving financial targets, optimizing customer service processes, managing customer orders and customers claims within our organization.<u><span><b>RESPONSIBILITIES :</b></span></u><span><b>LOGISTICS RESPONSIBILITIES</b></span><b>Customer Orders Management </b><ul><li>Maintain healthy inventory levels in the markets</li><li>Request, follow up and negotiate Customer Orders based on inventory levels and in-market sales forecast</li><li>Resolve Customer Order issues</li><li>Review and follow up on Order book status</li><li>Ensure Customer Orders are shipped on time with the right remaining shelf life along with all required documentation</li><li>Follow up on Supply and escalate issues when necessary</li><li>Inform Customer and internal stakeholders on status of open orders</li><li>Maintain Customer Master Data</li><li>Maintain Pricing Master Data</li><li>Support reducing discards</li></ul>New Launches / Variations<ul><li>Ensure new products are launched successfully, meeting the target launch date</li><li>Support on managing variations in collaboration with Demand Planner, Customer, Regulatory to ensure optimal supply</li></ul>Tenders<ul><li>Support tenders' submission</li><li>Ensure timely supply of tenders</li></ul><span>FINANCE RESPONSIBILITIES </span>Manage Accruals / Credit Notes<ul><li>Ensure credit notes are issued on time</li><li>Ensure expiry &amp; near expiry accruals are placed</li><li>Share Financial Estimates and highlight risks or opportunities Support financial submissions</li></ul><span><b><u>Required Education, Experience and Skills </u>&nbsp;: </b></span><ul><li>Bachelor's or Master’s degree in Supply Chain, Finance, Business Administration, or a related field.</li><li>At least 2 years of relevant work experience in Supply Chain, purchasing or Finance relevant experience.</li><li>Preferred experience in Pharma or FMCG.</li><li>Cross functional collaboration is required.</li><li>Excel is a must. SAP is a plus.</li><li>Proven experience in business partnering and building effective relationships.</li><li>Strong analytical skills, with an ability to manage complex data and drive process improvements.</li><li>Good communication skills. Fluency in written and spoken English is mandatory.</li><li>Ability to work collaboratively in a fast-paced environment.</li></ul><p><b>Secondary Job Description</b></p><br><p><b>Who We Are: </b></p><br><p><span>Organon delivers ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women’s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions.&nbsp; Our Vision is clear: A better and healthier every day for every woman.</span></p><br><p><span>As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants.&nbsp;</span></p><br><p><b><span>Search Firm Representatives Please Read Carefully&nbsp;</span></b><br>Organon LLC<span>, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. &nbsp;No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.&nbsp;</span></p><br><p><b>Annualized Salary Range</b></p><br><p><b>Annualized Salary Range (Global)</b></p><br><p><b>Annualized Salary Range (Canada)</b></p><br><p><b>Please Note: Pay ranges are specific to local market and therefore vary from country to country.</b></p><br><p><b>Employee Status: </b></p><br>Regular<p><b>Relocation:</b></p><br>Domestic<p><b>VISA Sponsorship:</b></p><br><p><b><span>Travel Requirements: Organon employees must be able to satisfy all applicable travel and credentialing requirements, including associated vaccination prerequisites</span></b></p><br><p><b>Flexible Work Arrangements:</b></p><br><p><b>Shift:</b></p><br><p><b>Valid Driving License:</b></p><br><p><b>Hazardous Material(s):</b></p><br><p><b>Number of Openings: </b></p><br>1 </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a strategic, adaptable, and highly technical AI Lead to drive the design, architecture, and deployment of enterprise-grade AI solutions. The role bridges business objectives and deep technical execution, taking ownership of end-to-end AI initiatives while leading cross-functional teams and building scalable, production-ready systems in a dynamic environment.<br><br><br>The Key Responsibilities are:<br><br></span><ul><li>Strategic Roadmap Execution: Partner closely with Product leadership to translate complex business KPIs into concrete, actionable technical roadmaps.<br></li><li>Stakeholder Coordination: Act as the primary technical point of contact, organizing cross-functional alignments and managing seamless communication across diverse business stakeholders.<br></li><li>Team Mentorship: Direct and mentor cross-functional engineering and AI talent, establishing best practices across the machine learning lifecycle and fostering a culture of rapid experimentation.<br></li><li>Process Optimization: Establish organizational frameworks to navigate early-stage or unstandardized technical environments, turning ambiguity into structured, scalable engineering workflows.<br></li><li>Agentic AI Ecosystems: Direct the architecture and end-to-end development of custom Agentic AI ecosystems tailored for operational and executive workflows.<br></li><li>Advanced Orchestration: Implement advanced reasoning and decision-support systems, utilizing various orchestration frameworks to progress solutions from simple data retrieval to autonomous task execution.<br></li><li>Predictive &amp; Generative Modeling: Oversee the execution of high-performing models, including predictive forecasting architectures, Natural Language Processing (NLP), and Large Language Model (LLM) RAG infrastructures.<br></li><li>AI Democratization: Advocate for and deploy self-service AI and analytics tools (such as AWS Q or QuickSight) to empower non-technical teams, successfully mitigating data engineering bottlenecks.<br></li><li>End-to-End Lifecycle Management: Design, establish, and maintain standardized DataOps and MLOps production pipelines to streamline the machine learning lifecycle.<br></li><li>CI/CD/CT Automation: Formulate clear standards for continuous integration, continuous deployment, and automated retraining pipelines to accelerate experiment-to-deployment cycles while ensuring absolute reproducibility.<br></li><li>Cloud Architecture: Architect scalable, secure, and production-ready applications, primarily leveraging cloud ecosystems.<br></li></ul><br><br><span>Requirements</span><ul><li>A Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative engineering field is required.<br></li><li>Minimum 8+ years of professional experience in machine learning, AI engineering, or related domains, including leadership experience.<br></li><li>Startup &amp; Immature Environment Exposure: Proven experience navigating an unstandardized or early-stage technical ecosystem, with a demonstrated ability to establish structure and drive operational maturity.<br></li><li>Leadership Experience: A robust background in technical leadership, team management, or directing cross-functional engineering pods.<br></li><li>Strong Coordination Skills: Exceptional organizational capabilities with a track record of coordinating and aligning priorities between business owners and technical teams.<br></li><li>ML &amp; MLOps Lifecycle Architecture: Deep expertise in core Machine Learning modeling and the end-to-end MLOps lifecycle, including CI/CD/CT pipelines and production deployment.<br></li><li>Predictive Modeling &amp; Statistical Inference: Advanced experience deploying classical machine learning architectures, including tree-based ensembles (e.g., XGBoost, Random Forest) for large-scale classification, regression, and predictive tasks.<br></li><li>Agentic Systems &amp; Vector Search: Hands-on experience designing agentic workflows using orchestration frameworks such as Amazon AgentCore and managing vector datasets with Amazon OpenSearch.<br></li><li>Enterprise Analytics &amp; Data Democratization: Strong experience leveraging BI tools such as Amazon QuickSight to enable self-service analytics across business functions.<br></li><li>Production Reliability &amp; Observability: Experience implementing production-grade monitoring, observability, and debugging tools (e.g., DataDog) for system uptime and data drift detection.<br></li><li>Cloud Infrastructure (AWS-Centric): Strong architectural knowledge of AWS ecosystems, with additional exposure to multi-cloud environments such as Microsoft Azure considered a plus.<br></li><li>Production Engineering Foundations: Solid experience building production-grade systems, including scalable data ingestion, containerization (Docker), and database engineering across SQL and NoSQL systems.<br></li><li>Work Schedule: Standard working hours aligned with business needs in Lebanon.<br></li><li>Excellent English communication skills.<br></li></ul><br><br> </div>

<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>