Data Entry Jobs in Lebanon
1659 Jobs Found
RNB Consultancy
Lebanon - Beirut
Job Summary
<br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment.
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<br>Key Responsibilities
<br>Monitor daily system activities and ensure data is accurate and up to date.
<br>Review and validate data to identify and correct any discrepancies.
<br>Generate daily and monthly operational reports.
<br>Analyze data and provide insights to support business decisions.
<br>Coordinate with different departments to resolve data-related issues.
<br>Maintain data integrity and follow company data management procedures.
<br>Assist in improving operational processes and reporting efficiency.
<br>Perform other data-related tasks as assigned.
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<br>Qualifications
<br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field.
<br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role.
<br>Strong knowledge of Microsoft Excel.
<br>Good analytical and problem-solving skills.
<br>High attention to detail and accuracy.
<br>Good communication and organizational skills.
<br>Ability to manage multiple tasks and meet deadlines.
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<br>How to Apply
<br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter
Sucafina
Lebanon - Beirut
<p><strong>Job Description Role Overview:</strong> The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies. The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization. This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><p><strong>Key Responsibilities</strong></p><ol><li><strong>Data Engineering & Platform Development</strong> Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake. Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines. Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL. Implement and manage Medallion Architecture (Bronze, Silver, Gold). Develop reusable and metadata-driven ingestion and transformation frameworks. Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications. Design and maintain enterprise data models supporting analytical and operational workloads.</li><li><strong>Fabric Engineering & Optimization</strong> Develop and optimize Fabric Lakehouses and Data Warehouses. Build advanced Notebook-based transformations utilizing PySpark and Spark SQL. Implement Delta Lake capabilities including: Merge/Upsert Change Data Feed (CDF) Time Travel Schema Evolution Optimize Vacuum Design scalable storage, partitioning, and file management strategies within OneLake. Optimize Spark workloads and Data Warehouse performance.</li><li><strong>Performance, Reliability & Monitoring</strong> Tune large-scale Spark and SQL workloads. Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics. Conduct performance testing and scalability assessments. Troubleshoot pipeline failures and platform performance bottlenecks. Define and monitor SLAs for critical data assets and pipelines. Ensure high availability and operational excellence across data workloads.</li><li><strong>DevOps & Platform Automation</strong> Implement CI/CD using Fabric Git Integration and Deployment Pipelines. Build automated deployment processes across Development, Test, and Production environments. Develop automated testing frameworks for data quality, schema validation, and regression testing. Manage environment configurations, secrets, and deployment parameters. Utilize Azure DevOps or GitHub Actions to support release automation and governance. Define rollback, release management, and change control processes.</li><li><strong>Data Quality, Governance & Security</strong> Implement automated data quality validation frameworks. Develop reconciliation, completeness, and consistency checks. Manage data lineage, metadata, and documentation standards. Implement sensitivity labels, access controls, auditing, and compliance requirements. Ensure adherence to organizational standards for governance, security, retention, and PII handling. Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li><li><strong>Technical Leadership & Collaboration</strong> Translate business requirements into scalable technical solutions. Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders. Lead engineering best practices and platform standards. Mentor junior engineers and support knowledge-sharing initiatives. Produce architecture documentation and technical design specifications. Drive continuous improvement of the data platform and engineering practices.</li></ol><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications and Experience:</h2><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><h2>Required Technical Skills</h2><ul><li>Microsoft Fabric</li><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li><li>Data Engineering</li><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li><li>Performance Optimization</li><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li><li>Integration</li><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li><li>DevOps</li><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li><li>Security & Governance</li><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul>
Confidential
Lebanon - Beirut
We are looking for an experienced and detail-oriented Data Analyst to join our team in Dora. The successful candidate will be responsible for analyzing business data, preparing reports, identifying trends, and providing actionable insights to support better decision-making across the company.
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<br>Key Responsibilities
<br>Collect, clean, validate, and analyze data from various sources.
<br>Prepare accurate and timely reports, dashboards, and performance analyses.
<br>Identify trends, patterns, and opportunities through data analysis.
<br>Monitor key performance indicators (KPIs) and provide regular updates to management.
<br>Work closely with different departments to understand their data and reporting needs.
<br>Translate business requirements into meaningful analytical reports and insights.
<br>Ensure data accuracy, consistency, and integrity.
<br>Automate and improve existing reporting and data-analysis processes.
<br>Present findings and recommendations clearly to both technical and non-technical stakeholders.
<br>Requirements
<br>Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, Mathematics, Economics, or a related field.
<br>2+ years of proven experience as a Data Analyst or in a similar analytical role.
<br>Strong proficiency in Microsoft Excel, including PivotTables, formulas, and data analysis.
<br>Experience with SQL and databases.
<br>Experience with data visualization tools such as Power BI, Tableau, or similar is an advantage.
<br>Strong analytical and problem-solving skills.
<br>Excellent attention to detail and accuracy.
<br>Ability to communicate complex data clearly and effectively.
<br>Ability to manage multiple priorities and meet deadlines.
<br>Fluency in English; Arabic is a plus
Lebanon - Beirut
<h2 class="h5">Job description</h2>
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<p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What will you be doing?&nbsp;</strong></p><br><ul><li>Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.</li><li>In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.</li><li>You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business</li></ul><p><strong>What are we looking for?&nbsp;</strong></p><br><ul><li>You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.</li><li>Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.</li><li>We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.</li><li>You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).</li></ul><p>Artefact is the place to be: come and build the future of data and marketing!<br><strong>Innovation</strong>: We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration</strong>: We believe in bringing talented people together, winning together, and in learning from each other.</p><br> </div>
Lebanon - Beirut
<h2 class="h5">Job description</h2>
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<p><strong>About us:</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>&nbsp;</p><br><p><strong>About the role:</strong></p><br><p>As a Data Analyst, your role will encompass:</p><br><ul><li>Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data</li><li>Extracting valuable insights from our clients’ marketing-related data sources.</li><li>Designing dashboards for marketing decision-making while taking into account the business needs</li><li>Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.</li><li>Actively contributing to the expertise level and competencies of the Data &amp; Analytics team</li><li>Closely collaborate with the other divisions (Media &amp; Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients</li></ul><p>&nbsp;</p><br><p><strong>Qualifications</strong></p><br><p>Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :</p><br><ul><li>A minimum of 1 year of work experience in a data-driven working environment</li><li>1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)</li><li>1 or 2 programming languages among SQL, Python and/or R.</li><li>Must have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential.</li></ul><p>&nbsp;</p><br><p>Ideally, you have the knowledge or take interested in one or more of the following technologies:</p><br><ul><li>1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS</li><li>You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)</li><li>1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…)</li><li>1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…)</li><li>1 web application (R-Shiny, Python Flask) that you have industrialized</li></ul><p>&nbsp;</p><br><p>As a bonus, you have:</p><br><ul><li>Basic knowledge of statistics</li><li>Basic knowledge of machine learning and data engineering</li></ul><p>&nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul><p>&nbsp;</p><br><p><strong>Come join us!</strong></p><br><p>&nbsp;</p><br> </div>
Client of Hire Lebanese
Lebanon - Mount Lebanon
<p>Proven experience in data analysis and building detailed reports.</p><p>Strong proficiency in data visualization and handling large datasets.</p><p>Strong analytical and problem-solving skills.</p>
Confidential
Lebanon - Beirut
Key Requirements:
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<br>Proven experience in data analysis and building detailed reports.
<br>Strong proficiency in data visualization and handling large datasets.
<br>Strong analytical and problem-solving skills
HR Manager
Lebanon - Beirut
• Analyze large volumes of trading, financial, and operational data.
<br>• Prepare, maintain, and improve Excel-based reports, analysis, and dashboards.
<br>• Monitor trading activity and identify trends, anomalies, discrepancies, and unusual patterns.
<br>• Perform statistical and quantitative analysis to support trading and management decisions.
<br>• Produce daily, weekly, and ad-hoc reports for the Trading Department and management.
<br>• Validate data for accuracy, consistency, and completeness.
<br>• Reconcile and investigate differences between datasets and trading records.
<br>• Develop and improve spreadsheets, formulas, models, and analytical tools.
<br>• Support traders and management with data-driven insights and analysis.
<br>• Help automate repetitive reporting and data-analysis processes where possible.
<br>• Work with multiple data sources and maintain accurate and reliable datasets.
<br>• Assist with performance analysis and other quantitative projects within the trading environment.
<br>• Respond quickly and accurately to ad-hoc analytical requests in a high-volume environment
Lebanon - Beirut
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>About us:</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>&nbsp;</p><br><p><strong>About the role:</strong></p><br><p>As a Data Scientist, your role will encompass:</p><br><ul><li>Conducting ambitious projects in the transformation of clients through data</li><li>Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients</li><li>Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department</li></ul><p>&nbsp;</p><br><p>Among your responsibilities as a Data Scientist, you will be responsible for:</p><br><p><strong>Performing data projects</strong></p><br><ul><li>Securing delivery on your projects</li><li>Communicating your work and achievements among the team</li><li>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</li><li>Ensuring that your solutions are bringing values to the client problematic</li><li>Being a good team player, knowing your role and responsibility in the global ambition</li></ul><p>&nbsp;</p><br><p><strong>Qualifications: Education &amp; experience required</strong></p><br><ul><li>A Master’s degree in machine learning, mathematics, computer science, or related fields</li><li>Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)</li><li>Strong knowledge of data processing, data modeling, algorithms, and data architecture</li><li>Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact</li></ul><p>&nbsp;</p><br><p><strong>What we are looking for</strong></p><br><ul><li><strong>A Doer:</strong>&nbsp;you get things done and inspire your teams to do the same</li><li><strong>An Analyst:&nbsp;</strong>you LOVE data and think every company should take their decisions with facts</li><li><strong>A Pragmatist:</strong>&nbsp;you have a hacker mindset and always find the quick wins</li><li><strong>A Mentor:</strong>&nbsp;your clients and teams naturally seek for advice</li><li><strong>An Adventurer:&nbsp;</strong>you’re an entrepreneur constantly looking for problems to solve</li></ul><p>&nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul><p>&nbsp;</p><br> </div>
Confidential
Lebanon - Beirut
A reputable International Company in Beirut is seeking a Junior Data Analyst to join our growing Data & AI Unit and support the development and maintenance of business intelligence solutions across our operations, commercial, and finance functions. The ideal candidate will work closely with the senior BI team to transform raw operational data into meaningful dashboards, reports, and insights that support informed business decisions across our fleet and shore-side operations.
<br>This is a hands-on opportunity for someone early in their career who is eager to develop their skills in data analytics, business intelligence, and data engineering within a high-volume shipping and logistics environment.
<br>To succeed in this role, you should have strong analytical and problem-solving skills, excellent attention to detail, a proactive learning mindset, and the ability to communicate effectively with both technical and business teams.
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<br>What will you do?
<br>• Build and maintain Power BI reports and dashboards under the guidance of senior team members
<br>• Write, test, and optimize SQL queries against SQL Server to extract, analyze, and validate data
<br>• Perform data cleaning, shaping, and transformation using Power Query
<br>• Support data reconciliation and quality checks by verifying record counts, revenue figures, shipment data, and other business information against source systems
<br>• Assist in documenting data sources, measures, report logic, and data processes
<br>• Respond to ad-hoc data requests from business units including operations, commercial, and finance
<br>• Help maintain and monitor existing automated reporting pipelines
<br>• Learn and gradually contribute to DAX measure development and workflow automation
<br>• Support the design, development, and maintenance of business intelligence solutions across the organization
<br>• Collaborate with senior BI team members to translate business requirements into meaningful reports and data insights
<br>• Assist in identifying data quality issues and support their investigation and resolution
<br>• Stay up to date with modern data and AI technologies and contribute to the continuous improvement of reporting and analytics processes
<br>• Assist in providing periodic updates to Management on pending tasks, priorities, and required actions to ensure timely follow-up and completion
<br>• Undertake additional tasks and responsibilities related to the scope and level of the role as required
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<br>What do we expect of you?
<br>• Bachelor's degree in Computer Science, Statistics, Engineering, Business Analytics, Information Systems, or a related field
<br>• Minimum 2–3 years of experience in data analytics, business intelligence, or a related field
<br>• Experience or strong interest in the logistics, shipping, or supply chain industry is a strong advantage
<br>• Foundational knowledge of SQL, including SELECT queries, joins, and aggregations
<br>• Familiarity with Power BI, DAX, and Power Query (M)
<br>• Exposure to Agentic AI, Copilot Studio, Power Automate, Office Scripts, and Microsoft Fabric is an advantage
<br>• Basic knowledge of Python for data manipulation
<br>• Strong Microsoft Excel and data visualization skills
<br>• Strong analytical and problem-solving skills with attention to detail
<br>• Excellent verbal and written communication skills
<br>• Proactive, eager to learn, and solution oriented
<br>• Ability to work effectively with both technical teams and business stakeholders
<br>• Fluent in English, written and spoken; knowledge of other languages is an advantage
<br>• Strong organizational skills with the ability to manage multiple tasks and priorities in a fast-paced environment
GlobeMed Ltd
Lebanon - Beirut
<h2 class="h5">Job description</h2>
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Job Description<br><p>GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a (Senior) Database Administrator position to increase the technical support for the database environment including overseeing the development and organization of the databases, assessment and implementation of new technologies, and providing Information Technology with a long-term perspective on the relationship of database technology to the business opportunities facing the company.</p><br><p>He/She will assist the Database manager in the management of different databases and what it entails in terms of analysis, design, availability, recovery, monitoring, configuration, deployment and support.</p><br><p><strong>Duties & Responsibilities:</strong></p><br><ul><li>Installation and Configuration of new database.</li><li>Monitoring and troubleshooting database.</li><li>Tuning and Performance analysis and resolution.</li><li>Deploy scripts and programs provided by ICT.</li><li>Update the current user guides and manuals of the systems.</li><li>Perform daily data maintenance tasks.</li><li>Perform and test backups, recovery and failover tests</li><li>Reports any critical issues to your direct supervisor & to local management team in order to ensure streamline process.</li><li>Document the company’s database environment.</li><li>Administrator all database objects (tables, index, procedure, etc…)</li><li>Ability to develop database script including basic command and shell scripting.</li></ul><br>Qualifications<br><ul><li>University degree in Computer Science or Computer Engineering</li><li>3+ years of experience in Oracle database Administration, MsSQL is a plus</li><li>Database-related certification is a plus (OCP, MCSD, etc.)</li><li>Knowledge of reporting and query tools and practices.</li><li>Knowledge in high availability, data replication and data security.</li><li>Understanding of ITIL processes and change controls is a plus</li></ul><br><br> </div>
Lebanon - Beirut
<h2 class="h5">Job description</h2>
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<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role 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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and 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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<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> Educational qualifications 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> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, 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> Technical Skills (Essential) 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) Additional requirements 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>
GlobeMed Group
Lebanon - Beirut
GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a (Senior) Database Administrator position to increase the technical support for the database environment including overseeing the development and organization of the databases, assessment and implementation of new technologies, and providing Information Technology with a long-term perspective on the relationship of database technology to the business opportunities facing the company.
<br>
<br>He/She will assist the Database manager in the management of different databases and what it entails in terms of analysis, design, availability, recovery, monitoring, configuration, deployment and support.
<br>
<br>Duties & Responsibilities:
<br>
<br> Installation and Configuration of new database.
<br> Monitoring and troubleshooting database.
<br> Tuning and Performance analysis and resolution.
<br> Deploy scripts and programs provided by ICT.
<br> Update the current user guides and manuals of the systems.
<br> Perform daily data maintenance tasks.
<br> Perform and test backups, recovery and failover tests
<br> Reports any critical issues to your direct supervisor & to local management team in order to ensure streamline process.
<br> Document the company’s database environment.
<br> Administrator all database objects (tables, index, procedure, etc…)
<br> Ability to develop database script including basic command and shell scripting.
<br>
<br>Qualifications
<br>
<br> University degree in Computer Science or Computer Engineering
<br> 3+ years of experience in Oracle database Administration, MsSQL is a plus
<br> Database-related certification is a plus (OCP, MCSD, etc.)
<br> Knowledge of reporting and query tools and practices.
<br> Knowledge in high availability, data replication and data security.
<br> Understanding of ITIL processes and change controls is a plus
<br>
<br>By clicking the link above or any third-party link within this posting, you are leavi
Lebanon - Beirut
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role 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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and 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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<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> Educational qualifications 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> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, 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> Technical Skills (Essential) 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) Additional requirements 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>
Client of United Nation careers
Lebanon - Mount Lebanon
<p>The United Nations Economic and Social Commission for Western Asia (ESCWA) is implementing a project on Improved mapping and monitoring of solar energy access for enhanced climate policy action and socio-economic resilience in ESCWA member States. The project aims to enhance the capacities of government officials and policymakers working in statistics, energy, and GIS-active research centres on using digital and geospatial tools to map and monitor solar energy data, review data snapshots and baselines, and generate KPIs to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience.</p><p>The GIS and renewable energy data analyst would review the existing data sets on detected solar photovoltaic (PV) systems in Djibouti, Jordan, Lebanon, Syria, and Yemen; apply statistical analysis methods to improve the accuracy of the data sets; and add socio-economic GIS layers to the existing data sets to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience.</p><p>Under the overall supervision of the Leader of the Climate Change and Natural Resources Sustainability Cluster, the analyst will report directly to the Project Coordinator and be responsible for the following overall duties linked to the outcomes and outputs of the project document, namely:</p><ul><li>Review and assess the existing geospatial datasets of detected solar PV systems in Djibouti, Jordan, Lebanon, Syria, and Yemen to identify inconsistencies, data gaps, duplicates, quality issues, and potential sources of uncertainty.</li><li>Conduct a comprehensive review of the existing solar PV geospatial datasets, including an assessment of data quality, completeness, spatial accuracy, attribute consistency, metadata availability, and reliability.</li><li>Prepare a comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>A master's degree in statistics, mathematics, GIS or related field is required. A first-level university degree with two additional years of relevant work experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of five years of experience working on data analytics related to energy or renewable energy is required. Demonstrated professional experience working on energy datasets is required. English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English. Knowledge of Arabic is desirable.</p>
Apgar Group
Lebanon - Mount Lebanon
<p><b>External mission</b>s</p><p>You will be working on all the steps of Data Management solutions implementation</p><p>You will take part in the design and the definition of the solutions’ architecture</p><p>You will implement the solution and define its operating rules</p><p>You will take part in creating models in collaboration with functional consultants</p><p>You will be in charge of suggesting, studying and validating technical solutions</p><p>You will assist the client in the set up and administration of the solution in its cloud or on-premises environment, while setting up methodologies and DEVOPS processes</p><p><br></p><p>R&D and internal missions</p><p>You will take part in the design and development of software components that will be incremented into market tools</p><p>You will take part in technical knowledge capitalization (speed up development, improve maintainability, smoothen reuse)</p><p>You will have to test solutions from new software editors in new scopes in order to build up our new offers</p><p>Depending on your career path wishes and desires, you will have the opportunity to move towards a position of a confirmed technical data engineer.</p><p>We guarantee a team development process and the implementation of a personalized follow-up for your career progress. We will be keen to provide you with an appropriate framework to help you evolve with serenity.</p><p><br></p><p><b>Skills required</b></p><p><b>Development: g</b>ood grasp of JAVA/J2EE environments</p><p>Databases: SQL Server, Oracle, , PostgreSQL, Hadoop/Spark/Amazon EMR/ Dynamo DB</p><p>Methodology: continuous integration and release management in an iterative and agile way (Jira/Maven/Bamboo/TFS/Jenkins)</p><p>A previous experience related to one of our offers (MDM, Meta data, Data Integration and Data Preparation) would be a great advantage</p><p><b>Required profile</b></p><p>Master’s degree or equivalent</p><p>Freshly graduated with good knowledge in these fields: (or looking for a paid internship or an end of year project)</p><p>A previous experience related to one of our offers (MDM, Meta data, Data Integration and Data Preparation) would be a great advantage</p>
Jobs for Humanity
Lebanon - Beirut
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Company Description<br>
Jobs for Humanity is partnering with testempadmin to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
<br> Company Name: testempadmin<br>
<br>Job Description<br>
<p>Join our team as a Data Analyst/Scientist to turn complex datasets into clear, actionable insights that drive measurable business improvements. You’ll partner with stakeholders to design analyses, build predictive models, and deliver automated reporting that supports day-to-day and strategic decision-making.</p><br> Job Purpose <p>The purpose of this role is to analyze data, build reliable data pipelines and predictive models, and communicate results through dashboards and stakeholder-ready reporting—improving KPIs through data-driven recommendations with measurable impact.</p><br> Job Duties and Responsibilities <ul>
<li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>ETL data pipelines</li><li>Statistics and experimentation (A/B testing)</li><li>Analytical thinking</li><li>Problem-solving</li><li>Attention to detail</li><li>Ownership and continuous improvement</li><li>Stakeholder communication</li>
</ul>
<br>
<br>Qualifications<br>
Required Qualifications <ul>
<li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>Statistics and experimentation (A/B testing)</li><li>ETL data pipelines</li><li>Analytical thinking</li><li>Problem-solving</li><li>Stakeholder communication</li><li>Attention to detail</li><li>Ownership and continuous improvement</li>
</ul>
<br>
<br><br> </div>
UN
Lebanon - Beirut
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Result of Service<br>1- Reviewed and improved solar PV datasets for all project countries. 2- Updated solar PV datasets and GIS layers that integrate additional socio-economic datasets. 3- Geospatial analytical products, including thematic maps, statistical summaries, dashboards, and spatial analyses. 4- Inputs into the existing toolkit and platform covering all data processing, validation methodologies, assumptions, statistical procedures, and GIS workflows. 5- Comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.<br> Work Location<br>Remotely<br> Expected duration<br>2 months<br> Duties and Responsibilities<br>Background The United Nations Economic and Social Commission for Western Asia (ESCWA) is implementing a project on “Improved mapping and monitoring of solar energy access for enhanced climate policy action and socio-economic resilience in ESCWA member States”. The project aims to enhance the capacities of government officials and policymakers working in statistics, energy, and GIS-active research centres on using digital and geospatial tools to map and monitor solar energy data, review data snapshots and baselines, and generate KPIs to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience. Objective The GIS and renewable energy data analyst would review the existing data sets on detected solar photovoltaic (PV) systems in Djibouti, Jordan, Lebanon, Syria, and Yemen; apply statistical analysis methods to improve the accuracy of the data sets; and add socio-economic GIS layers to the existing data sets to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience. Duties and responsibilities Under the overall supervision of the Leader of the Climate Change and Natural Resources Sustainability Cluster, the analyst will report directly to the Project Coordinator and be responsible for the following overall duties linked to the outcomes and outputs of the project document, namely: a) Review and assess the existing geospatial datasets of detected solar PV systems in Djibouti, Jordan, Lebanon, Syria, and Yemen to identify inconsistencies, data gaps, duplicates, quality issues, and potential sources of uncertainty. b) Conduct a comprehensive review of the existing solar PV geospatial datasets, including an assessment of data quality, completeness, spatial accuracy, attribute consistency, metadata availability, and reliability. c) Prepare a comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.<br> Qualifications/special skills<br>A master’s degree in statistics, mathematics, GIS or related field is required. A first-level university degree with two additional years of relevant work experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of five years of experience working on data analytics related to energy or renewable energy is required. Demonstrated professional experience working on energy datasets is required.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English. Knowledge of Arabic is desirable. Note: "Fluency" equals a rating of 'fluent' in all four areas (speak, read, write, and understand) and "Knowledge of" equals a rating of 'confident' in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br>
</div>
Lebanon - Beirut
<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>
Servi
Lebanon - Beirut
About Servi
<br>Servi is an early‑stage startup building an app that touches everyday life in Lebanon by
<br>connecting families with trusted freelancers while giving freelancers structured opportunities,
<br>income, and visibility. We’re building something meaningful from the ground up, and this
<br>internship will give you a front‑row seat to that journey.
<br>
<br>What you’ll work on
<br>● Data cleanup & structure: cleaning, deduplicating, and organizing freelancer and client
<br>data across Servi’s verticals
<br>● Onboarding automation: building scripts and workflows that speed up how freelancers
<br>sign up, get vetted, and go live
<br>● Internal tools: building small AI-assisted tools that cut manual work for the team
<br>● Reporting: turning raw data into clear views of supply, sign-ups, and activation
<br>● Direct founder exposure: working alongside the co-founders to build the systems that keep Servi running
<br>
<br>Who thrives here
<br>● A builder: you’ve built something with code or AI tools and can show it. MIS, CS,
<br>Computer Engineering, or any background welcome
<br>● Curious with a learn-by-doing mindset: eager to experiment and grow
<br>● Comfortable with data: at ease in spreadsheets and databases, and notices when
<br>numbers don’t add up
<br>● Detail-oriented and open to feedback: balances precision with adaptability
<br>
<br>Technical skills that are a plus
<br>● AI coding tools: Claude, VS Code, and GitHub
<br>● Data & automation: Python, SQL, Airtable, or Zite