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About the company:
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<br>This company is a leading specialist distributor of electronic test and measurement solutions, serving engineers and innovators across the UK. They provide a comprehensive range of high-performance precision tools, including oscilloscopes, spectrum analyzers, and environmental chambers, alongside essential calibration services. By partnering with world-class technology brands, the team ensures that industries ranging from aerospace and telecommunications to electronics manufacturing have the equipment they need to maintain the highest standards of accuracy and reliability. Working here offers the opportunity to be at the forefront of technical innovation. The company manages a vast portfolio of both new and certified pre-owned equipment, supported by a rapid distribution model that emphasizes speed and technical expertise. Candidates will join a professional, stable, and service-oriented environment that plays a vital role in the lifecycle of electronic design and production, making it an ideal place for those who value precision and industry-leading technology.
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<br>Job Description:
<br>Role Overview:
<br>As the Business Insights Analyst, you will serve as the analytical engine for our European division. This is a critical role designed for a professional who does more than just build reports; you will turn complex data into the strategic narrative that shapes operational decisions. You will own the end-to-end data lifecycle, leveraging a cutting-edge Microsoft stack to provide clear, actionable insights to senior leadership.
<br>Working at the intersection of technology and commerce, you will oversee the integration of ERP and CRM data to identify growth opportunities, mitigate risks, and optimize performance across multiple markets. If you are a proactive problem-solver who enjoys bridging the gap between technical data engineering and executive-level strategy, this role offers a high-impact platform to drive business transformation.
<br>Key Responsibilities
<br>• End-to-End Reporting: Design, develop, and maintain high-performance Power BI dashboards covering sales, inventory, and financial KPIs across the European business.
<br>• Data Engineering & Architecture: Utilize Microsoft Fabric (Lakehouses, Pipelines, and Warehouses) to build scalable data models and consolidate disparate sources into a unified semantic layer.
<br>• Strategic Analysis: Proactively identify trends, anomalies, and market patterns. You will go beyond the "what" to explain the "why," providing regular insight briefings to the divisional head.
<br>• Systems Integration: Extract and transform data from Prophet 21 (P21) and Microsoft Dynamics 365 CRM to ensure a 360-degree view of the customer journey and supply chain.
<br>• Stakeholder Partnership: Act as a trusted advisor to finance, sales, and operations teams, promoting data literacy and ensuring all reporting aligns with regional business definitions.
<br>Requirements
<br>• Experience: 3–5 years in business intelligence or data analytics, ideally within a distribution or wholesale environment.
<br>• Technical Stack: Hands-on expertise with Microsoft Fabric and advanced Power BI skills (data modeling, DAX, and Service administration).
<br>• Data Querying: Strong SQL proficiency for extracting and querying complex relational databases.
<br>• CRM/ERP Literacy: Proven experience working with Microsoft Dynamics 365 CRM and ERP systems (Prophet 21 experience is a significant advantage).
<br>• Communication: The ability to synthesize technical data into clear, executive-level narratives for non-technical stakeholders.
<br>Nice to Haves
<br>• Familiarity with Microsoft Purview for data governance and cataloging.
<br>• Experience supporting multi-country operations, including handling multiple currencies and regional VAT requirements.
<br>• Knowledge of Azure Data Services (Data Factory, Synapse) or Power Automate for workflow automation.
<br>• Background in predictive analytics or forecasting models within a commercial context.
<br>What You'll Get
<br>This role provides the opportunity to lead the data strategy for an international division, working with the latest technology in the Microsoft ecosystem. You will have direct visibility with executive leadership and the autonomy to build a best-in-class analytics environment. We offer a professional, fast-paced atmosphere where data-led decision-making is valued and your insights will directly influence the company’s trajectory in the European market
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Delivering exceptional customer service, managing the appointment calendar, and ensuring smooth front desk operations.</p><p>Monday to Saturday: 11:00 am- 8:00 pm</p></div></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>CIS Group ICT Company located in Jal El Dib, is looking for an ambitious and motivated Head of Distribution Services for Africa Distribution to build and lead a new Distribution Services Business Unit focused on delivering high-value, end-to-end services for leading IT brands including Huawei, Cisco, HPE, and Dell.</p><p>Responsibilities:</p><ul><li>Define the structure, mission, and go-to-market strategy of the Distribution Services Business Unit.</li><li>Develop a roadmap for services such as pre-delivery configuration, staging, installing, post-sales support, and warranty handling.</li><li>Identify service opportunities aligned with vendor programs (HPE Complete Care)</li><li>Serve as the main liaison between the distribution services team and vendor service organizations</li><li>Ensure compliance with vendor service delivery frameworks and certifications.</li><li>Build and standardize service offerings across the distributed brands, such as: Logistics & warehousing, Deployment services,</li><li>Define SLAs, pricing models, and delivery capabilities per brand.</li><li>Recruit, train, and manage a services team</li><li>Develop the business unit P&L and oversee budgeting, forecasting, and cost control.</li><li>Collaborate with the commercial/sales teams to support customer engagements and tender responses.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in IT, Engineering, Business Administration, or related field.</li><li>8-12 years of experience in IT distribution or service delivery.</li><li>Solid experience with vendor ecosystems, especially Huawei, Cisco, HPE, and Dell.</li><li>Familiarity with regional logistics and customs requirements.</li><li>Based in Lebanon, willing to travel</li></ul><p></p></section>
<p>About WPP Media WPP is the trusted growth partner for the world s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships all united by our pioneering agentic marketing platform, WPP Open we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . About Mindshare: A Leading WPP Media Brand Mindshare delivers Good Growth for its clients. As Growth Architects," we drive growth that benefits all stakeholders better for people, planet, and business by using media with intention. This approach creates more meaningful connections with consumers, increases consumer trust in the brand, and delivers better outcomes for all stakeholders. Role Summary and Impact The Media Associate supports the development and execution of media plans and campaigns, ensuring efficient implementation of media strategies to meet campaign objectives and client needs, ultimately contributing to the success of client campaigns and the growth of the agency. Assist in the creation and execution of media plans across digital, social, and programmatic channels ensuring alignment with business objectives and market dynamics. . Collaborate with cross-functional teams to drive campaign performance through continuous optimization and structured analysis. Coordinate with media vendors and ensure timely delivery of media assets and placements. Monitor and manage media campaigns to ensure adherence to schedules and budgets. Maintain relationships with media vendors and assist in sourcing new opportunities and securing media buys. Collect and analyze media performance data, providing insights and recommendations for campaign optimization. Prepare regular reports on media activities (mid campaign report/ end of campaign report ), including budget tracking (actualization sheet ), performance metrics, and campaign results with actionable insights to support optimization and future planning. Monitor ongoing campaigns and adjust strategies as needed to improve performance and achieve campaign goals. Act as a point of reference for clients and internal teams regarding media planning and execution. Manage media schedules, trafficking of ads, and ensure all media materials are delivered accurately and on time. . Once a media plan is approved, manage the end-to-end process, from sharing the quotation with the client to collecting all required assets and materials, and ensure the campaign goes live on time.</p><p><strong>Desired Candidate Profile</strong></p><p>Skills and Experience At WPP Media, we believe in the power of our culture and our people. It s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Bachelor s degree in marketing, Advertising, Media, or a related field. Strong interest in the media landscape and a desire to learn about media planning and buying. Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Overview The Microsoft Fabric Data Engineer designs, builds, and operates modern data platforms using Microsoft Fabric. This role focuses on ingesting, modeling, and serving data via OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Power BI delivering trusted, performant datasets and governed analytics at scale. The role collaborates closely with data architects, analytics engineers, BI developers, and business stakeholders. Key Responsibilities 1. Data Platform Engineering (Fabric) Build and manage Lakehouses (Delta Lake) and Fabric Data Warehouses. Develop Data Pipelines and Dataflows Gen2 for batch and near-real-time ingestion. Create and optimize Notebook-based transformations (PySpark/SQL) and SQL stored procedures for DW workloads. Implement medallion architecture (bronze/silver/gold) for scalable curation. Publish certified semantic models and Power BI datasets aligned to business domains. 2. Performance & Reliability Optimize storage/compute in OneLake (file formats, partitioning, z-ordering). Tune Spark and SQL workloads (caching strategies, concurrency, workload isolation). Implement robust retry, alerting, and monitoring (Fabric Monitoring Hub, Metrics app). Conduct end-to-end pipeline performance testing and scalability assessments. 3. Governance, Security & Compliance Enforce data governance with sensitivity labels, row-level/column-level security, and workspace roles. Manage item-level permissions (Lakehouse tables, DW schemas, datasets) and Managed Identities for sources. Apply data quality rules, lineage, and documentation (Descriptions, Tags, Owner metadata; Purview if applicable). Ensure compliance with organizational standards (PII handling, audit, retention). 4. DevOps & Lifecycle Management Use Fabric Git integration and Deployment Pipelines for CI/CD across dev/test/prod. Parameterize pipelines and environments; externalize configuration and secrets (Key Vault). Implement automated testing for data transformations and schemas. Drive release management, change control, and rollback strategies. 5. Collaboration & Stakeholder Engagement Partner with analytics engineers and BI teams to design star schemas, semantic models, and DAX measures. Work with data source owners for SLAs, schema change management, and contracts. Translate business requirements into technical designs and document architecture decisions. Provide knowledge transfer, best practices, and support to data consumers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Skills & Qualifications</h2><ul><li><strong>Technical Skills</strong> Microsoft Fabric (hands-on): OneLake, Lakehouse (Delta), Fabric Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, Semantic Models/Power BI, Monitoring Hub.</li><li><strong>Programming & Querying</strong>: PySpark, SQL (T-SQL), Delta Lake operations; DAX familiarity is a plus.</li><li><strong>Modeling & Architecture</strong>: Dimensional modeling, Data Vault or medallion patterns, data quality frameworks.</li><li><strong>Performance & Ops</strong>: Partitioning, file formats (Parquet/Delta), caching/z-ordering, job orchestration, monitoring.</li><li><strong>DevOps</strong>: Git, Fabric Deployment Pipelines, YAML CI/CD (GitHub Actions/Azure DevOps), IaC exposure (Bicep/Terraform for non-Fabric infra).</li><li><strong>Security & Governance</strong>: RLS/CLS, sensitivity labels, access patterns, audit/logging, lineage.</li><li><strong>Preferred Qualifications</strong> Experience with Power BI modeling (star schemas, relationships, calculation groups, DAX). Exposure to streaming/real-time: Eventstream, Real-Time Hub, KQL databases (if applicable). Experience integrating with external sources (SQL Server, SAP, Dataverse, REST APIs). Familiarity with Microsoft Purview for governance/lineage.</li><li><strong>Certifications</strong>: DP-600: Microsoft Fabric Analytics Engineer Associate (strongly preferred) DP-203: Data Engineering on Microsoft Azure (nice to have)</li></ul><p></p></section>
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<p>ONSITE - Construction Management Experts specializes in cloud-based, construction-specific Management Software to streamline processes. The Onsite team, made up of construction management experts, provides Document, Communication, and Quality Management solutions while advising stakeholders on process improvement for Digital Transformation. Trusted by industry leaders in the GCC, Onsite modernizes construction management, addressing long-standing issues with legacy solutions. Headquartered in Dubai, with global offices and representatives, Onsite is committed to enhancing efficiency in construction management.</p><p><br></p><p><b>Role Description</b> </p><p>We are seeking a dedicated Support Officer to join our team at our Jounieh office. In this full-time, on-site position, you will serve as the primary point of contact for our valued customers, providing exceptional service and ensuring positive user experiences. You'll play a crucial role in maintaining customer satisfaction while supporting our mission to transform construction management through innovative technology solutions.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Key Responsibilities:</b></p><p>•Provide first-level customer support and assistance to users</p><p>•Handle customer inquiries via phone, email, and chat</p><p>•Guide users through basic software navigation and features</p><p>•Document and escalate technical issues to appropriate teams</p><p>•Ensure exceptional customer satisfaction through responsive service delivery</p><p>•Maintain accurate records of customer interactions and support cases</p><p>•Follow up with customers to ensure issue resolution</p><p>•Assist with user onboarding and training sessions</p><p><br></p><p><b>Qualifications Required:</b></p><p>•Bachelor's degree in any field</p><p>•Excellent verbal and written communication skills in English</p><p>•Strong customer service orientation with focus on satisfaction</p><p>•Good organizational and multitasking abilities</p><p>•Ability to learn software applications quickly</p><p>•Patience and professionalism when dealing with customers</p><p>•Ability to thrive in collaborative team environments</p><p>•Basic computer literacy and comfort with software applications</p><p><br></p><p><b>Preferred:</b></p><p>•Previous experience in customer support or service roles</p><p>•Familiarity with construction industry terminology</p><p>•Additional language skills (Arabic, French)</p><p>•Experience with ticketing systems</p><p>•Strong attention to detail</p><p><br></p><p><b>What We Offer</b></p><p>•Competitive salary and benefits package</p><p>•Opportunity to work with cutting-edge construction technology</p><p>•Professional development and growth opportunities</p><p>•Collaborative and innovative work environment</p><p>•Chance to make a meaningful impact in the construction industry</p></div>
<h2 class="h5">Job description</h2>
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About the job Accountant Internship <br> <br><strong>Job title: </strong>Accountant Internship<br><strong>Paid Transportation</strong><br><strong>Internship duration: </strong>450 hours<br><strong>Internship schedule: </strong>Full-time from Monday to Friday (8.00 AM - 5.00 PM) <br><strong> Organization Overview:</strong> shareQ (www.shareq.org) is a Lebanese non-profit organization launched by a group of dedicated young professionals in 2012. shareQ is dedicated to innovating sustainable social projects and implementing them in collaboration with more than 30 NGOs. shareQ has currently two main departments, ProAbled (www.proabled.com) and M Social Catering (www.msocialcatering.com).<br><strong>Responsibilities:</strong><br><ul><li>Assist in the preparation and maintenance of financial records, including journal entries, ledgers, and reconciliations.</li><li>Process invoices, payments, and expense reports accurately and promptly.</li><li>Perform bank and credit card reconciliations regularly.</li><li>Assist in month-end and year-end closing activities, including the preparation of financial reports.</li><li>Monitor accounts payable and receivable to ensure timely payments and collections.</li><li>Collaborate with the Financial Officer and other team members to improve accounting procedures and internal controls.</li><li>Handle any additional accounting or administrative tasks as assigned by the finance team.</li></ul><br><strong>Job Qualifications:</strong><br><ul><li>Bachelor's degree in Accounting, Finance, or a related field.</li><li>02 years of accounting experience</li><li>Strong knowledge of basic accounting principles</li><li>Proficiency in Microsoft Excel and familiarity with accounting software (e.g., Visual Dolphin).</li><li>Languages: Fluent in Arabic, and English (French is a plus)</li></ul><br><strong>Competencies:</strong><br><ul><li>Excellent attention to detail and accuracy in data entry and financial reporting.</li><li>Strong organizational and time management skills.</li><li>Good communication and teamwork abilities.</li><li>Problem-solving skills.</li><li>Ability to prioritize tasks and meet deadlines.</li><li>Professional integrity and discretion when handling confidential information.</li></ul><br> </div>
<h2 class="h5">Job description</h2>
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About the job Accountant Internship <br> <br><strong>Job title: </strong>Accountant Internship<br><strong>Paid Transportation</strong><br><strong>Internship duration: </strong>450 hours<br><strong>Internship schedule: </strong>Full-time from Monday to Friday (8.00 AM - 5.00 PM) <br><strong> Organization Overview:</strong> shareQ (www.shareq.org) is a Lebanese non-profit organization launched by a group of dedicated young professionals in 2012. shareQ is dedicated to innovating sustainable social projects and implementing them in collaboration with more than 30 NGOs. shareQ has currently two main departments, ProAbled (www.proabled.com) and M Social Catering (www.msocialcatering.com).<br><strong>Responsibilities:</strong><br><ul><li>Assist in the preparation and maintenance of financial records, including journal entries, ledgers, and reconciliations.</li><li>Process invoices, payments, and expense reports accurately and promptly.</li><li>Perform bank and credit card reconciliations regularly.</li><li>Assist in month-end and year-end closing activities, including the preparation of financial reports.</li><li>Monitor accounts payable and receivable to ensure timely payments and collections.</li><li>Collaborate with the Financial Officer and other team members to improve accounting procedures and internal controls.</li><li>Handle any additional accounting or administrative tasks as assigned by the finance team.</li></ul><br><strong>Job Qualifications:</strong><br><ul><li>Bachelor's degree in Accounting, Finance, or a related field.</li><li>02 years of accounting experience</li><li>Strong knowledge of basic accounting principles</li><li>Proficiency in Microsoft Excel and familiarity with accounting software (e.g., Visual Dolphin).</li><li>Languages: Fluent in Arabic, and English (French is a plus)</li></ul><br><strong>Competencies:</strong><br><ul><li>Excellent attention to detail and accuracy in data entry and financial reporting.</li><li>Strong organizational and time management skills.</li><li>Good communication and teamwork abilities.</li><li>Problem-solving skills.</li><li>Ability to prioritize tasks and meet deadlines.</li><li>Professional integrity and discretion when handling confidential information.</li></ul><br> </div>
Qualifications
<br>Minimum 5 years of experience in restaurant operations.
<br>Experience in upscale or high-volume restaurants is preferred.
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<br>Key Responsibilities
<br>Supervise and coordinate all Front of House (FOH) operations during assigned shifts to ensure smooth, efficient, and high-quality service delivery.
<br>Ensure compliance with the restaurant's SOPs, service standards, hygiene regulations, and brand guidelines at all times.
<br>Lead, motivate, coach, and supervise Captains, Waiters, Runners, Hosts, and Bar staff to achieve exceptional performance and customer satisfaction.
<br>Allocate staff duties and monitor manpower distribution according to operational needs and business volumes.
<br>Monitor service quality, table turnover, guest flow, and overall dining room operations to maximize efficiency.
<br>Welcome guests, address concerns and complaints professionally, and ensure prompt resolution to maintain a superior guest experience.
<br>Promote upselling and cross-selling initiatives while supporting the achievement of daily, weekly, and monthly sales targets.
<br>Conduct regular floor inspections to ensure cleanliness, organization, proper table setup, and compliance with grooming and uniform standards.
<br>Monitor employee attendance, punctuality, productivity, and adherence to company policies, reporting any performance or disciplinary concerns to the Restaurant Manager.
<br>Assist in the recruitment, onboarding, coaching, and continuous training of Front of House employees.
<br>Ensure food and beverage quality standards are consistently maintained before items are served to guests.
<br>Coordinate closely with the kitchen, bar, reservations, and cashier teams to ensure seamless communication and efficient service.
<br>Monitor restaurant supplies, equipment, and operating materials, reporting shortages, maintenance issues, or operational deficiencies promptly.
<br>Assist in inventory counts and ensure the proper use and handling of restaurant equipment and assets.
<br>Prepare daily shift reports, document incidents, guest feedback, and operational observations, and communicate relevant information to management.
<br>Support the Restaurant Manager in implementing operational improvements, achieving departmental KPIs, and maintaining a positive, professional, and customer-focused work environment
Keep Property SAL is looking for a reliable and detail-oriented Cashier / Junior Accountant to join our team.
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<br>This position is primarily focused on cashiering and day-to-day accounting operations rather than advanced accounting functions. It is ideal for candidates with solid organizational skills.
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<br>Key Responsibilities:
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<br>* Handle daily cash receipts and payments.
<br>Process supplier payments and maintain payment records.
<br>* Follow up on client receivables and collections.
<br>* Prepare receipts, payment vouchers, and supporting documentation.
<br>* Reconcile cash and bank transactions.
<br>Maintain accurate accounting records and filing.
<br>* Assist with month-end accounting tasks and administrative duties as required.
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<br>Requirements:
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<br>* Bachelor's degree in Accounting, Finance, or a related field.
<br>* 2–5 years of experience in a cashiering or junior accounting role.
<br>* Good knowledge of Microsoft Excel and accounting software.
<br>* Strong attention to detail and organizational skills.
<br>* Honest, dependable, and able to handle confidential financial information.
<br>* Ability to work effectively within a team.
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<br>What We Offer:
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<br>* A stable and professional work environment.
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<br>* Competitive salary package based on qualifications and experience
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>
<p>The Telephone Operator is responsible for answering all incoming calls originating from within and outside the hotel in a friendly and caring manner according to the Kempinski and LQA standards. Answer all incoming calls, connect them to the appropriate extension in an efficient, friendly and caring manner according to the Kempinski standards. Write down messages accurately for our guests and deliver messages in a timely manner. Handle guests' requests for DND (Do Not Disturb) and confidential status. Handle personal wakeup call requests for guests according to the LQA standard and automatic wakeup call requests for group and crew guests. Answer all guest questions / requests in a friendly and caring manner, take appropriate actions or if needed, refer the matters to the relevant persons to handle. It may be providing information or assistance to make an outside call or handling a complaint, etc. In case of emergency, handles all communications for the hotel whilst serving as the communication center. Keep a complete record of each DDD (Domestic Direct Dial) and IDD (International Direct Dial). Coordinate with front office reception all telephones charges to ensure they are billed and collected from guests. Monitor TV channels in addition to outlets' and public area's music to ensure smooth and proper functioning. In case of emergency, handle all communications for the hotel whilst serving as the communication center. Keep abreast of telephone directory, new staff and leavers, emergency procedures, special promotions and general hotel product knowledge. Maintain the neatness of their working area at all time. Additional responsibilities and tasks can be added at any time according to the needs of the business and of the hotel.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: Hospitality Management Bachelor Degree or equivalent in any related field such as Administration or Tourism Management</p><p>Experience : Minimum of one year experience in a customer service oriented position.</p><p>Language : Local language excellent oral and written skills (as applicable) English good oral and written skills</p><p>Competencies: Listening and oral skills Listen attentively and speak clearly Writing skills</p><p>To fill this position the candidate must identify with the Kempinski core values, in addition they should be especially:</p><ul><li>People Oriented</li><li>Passion for European luxury</li><li>Entrepreneurial</li><li>Self-confident</li><li>Persuasive</li><li>Ethical</li><li>Quality oriented</li><li>Well-presented</li></ul>
Delivering exceptional customer service, managing the appointment calendar, and ensuring smooth front desk operations.
<br>Monday to Saturday: 11:00 am- 8:00 pm
<br>Salary 650$
<br>Glow Lounge/ Metro Mall Ghazir
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.</p><p>A Category Manager is a person who is responsible in building and maintaining strong, long-lasting supplier relationships based on trust and respect. The Category Manager has to clearly communicate the progress of monthly/quarterly initiatives to upper management.</p><p><b>Responsibilities</b>:</p><ul><li>Serve as the lead point of contact for all suppliers, negotiate new contract, and extract up front and back margins</li><li>Build and maintain strong, long-lasting supplier relationships based on trust and respect</li><li>Negotiate contracts and close agreements to maximize profits</li><li>Analyze data or insights to determine industry and consumer trends</li><li>Clearly communicate the progress of monthly/quarterly initiatives to upper management</li><li>Devise long-term development strategies for product categories</li><li>Foster trust relationships with suppliers to achieve better pricing and quality of services</li><li>Prepare reports on positioning of a product category to maximize visibility</li><li>Communicating with suppliers to understand their needs and explain product value</li><li>Collecting and analyzing data to learn more about consumer behavior and propose ideas to increase revenues</li><li>Resolving complaints and preventing additional issues by improving processes</li><li>Liaise with the marketing coordinator to determined competitive pricing promotional activities of a product category</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proven work experience as a Category Manager or similar role</li><li>Problem solving skills and analytical skills</li><li>FMCG experience is preferred</li><li>Proven ability to juggle multiple projects at a time, while maintaining sharp attention to detail</li><li>Excellent listening, negotiation and presentation skills</li><li>Strong verbal and written communication skills</li><li>BA/BS degree in Business Administration, Supply Chain or relevant field</li></ul><p></p></section>
<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>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>
<p>About the Role:</p><p>We are looking for a detail-oriented Data Entry Specialist to support our accounting team. The ideal candidate has at least one year of experience in accounting-related data entry and is comfortable working with financial records and figures.</p><p>Key Responsibilities:</p><ul><li>Accurately enter financial and accounting data into internal systems and spreadsheets</li><li>Verify and reconcile discrepancies in financial records</li><li>Maintain and update ledgers, invoices, and expense reports</li><li>Assist with month-end and year-end closing tasks</li><li>Organize and file physical and digital financial documents</li><li>Support the accounting team with ad-hoc administrative tasks</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements:</p><ul><li>Minimum 1 year of experience in accounting or bookkeeping data entry</li><li>Strong knowledge of Microsoft Excel; familiarity with accounting software (e.g., QuickBooks, SAP, or similar) is a plus</li><li>High attention to detail and accuracy</li><li>Good organizational and time-management skills</li><li>Ability to handle confidential financial information responsibly</li></ul>