Data Entry Jobs in Lebanon

<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>

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> 5 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

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

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

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

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

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

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

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

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

<p><h4>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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled and motivated Data Analyst to join our dynamic team. In this role, you will be at the forefront of our data-driven decision-making process, working with large and complex datasets to extract meaningful insights that directly influence our strategic direction. If you are passionate about turning raw data into powerful business narratives and thrive in a collaborative, results-oriented environment, we want to hear from you.</p><p>The primary purpose of this role is to collect, process, analyze, and interpret large datasets to uncover actionable insights that drive strategic business decisions, ensuring data accuracy, operational efficiency, and cost optimization across the organization.</p><p>Collect, process, and clean large datasets from various sources to ensure data integrity and accuracy.</p><p>Perform in-depth statistical analysis and data interpretation to uncover trends, patterns, and actionable insights.</p><p>Design, develop, and maintain interactive dashboards and reports using Tableau, Power BI, and Excel.</p><p>Deliver at least 5 actionable reports per month to key stakeholders, translating complex data into clear business recommendations.</p><p>Optimize and automate manual reporting processes, targeting the automation of at least 2 processes per quarter.</p><p>Write and optimize SQL queries to extract and manipulate data, reducing query response time by 20%.</p><p>Implement and maintain ETL processes to streamline data flow from source systems to analytical platforms.</p><p>Identify and evaluate cost-saving opportunities, presenting at least 3 actionable recommendations annually.</p><p>Monitor and improve data accuracy metrics, driving a 15% quarterly improvement through rigorous validation and cleansing.</p><p>Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>SQL</li><li>Python</li><li>R</li><li>Tableau</li><li>Power BI</li><li>Excel</li><li>Statistical Analysis</li><li>Data Cleaning</li><li>ETL Processes</li><li>Critical Thinking</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Substantive contribution to the econometric models of the GUARD tool. Econometric findings and policy-relevant analytical outputs produced to support related outputs of the project (e.g. technical paper/policy brief). The IC is responsible for updating and maintaining the files and data used in an electronic format. Work Location Hybrid Expected duration 5 months Duties and Responsibilities Background Phantom FDI are typically routed through low-or no-tax jurisdictions to facilitate profit shifting and regulatory arbitrage, undermining fiscal revenues and diverting resources away from national development priorities. According to the IMF, phantom FDI accounts for up to 40 per cent of global FDI stocks, while the OECD has highlighted how multinational corporations exploit such flows to disconnect financial activity from the real economy. Assessing phantom FDI risks is essential for safeguarding the integrity of national statistics, reducing fiscal leakages, and strengthening the effectiveness of investment-led development strategies. It also explains why high FDI inflows may not translate into productive investment or broader development gains, underscoring the need to assess not only the volume, but the quality of FDI. Duties and responsibilities The Individual Contractor (IC) will provide analytical and technical support to the work of the Financing for Development Team in the areas covered by this assignment. Specific responsibilities include:</p><ul><li>Extracts, compiles and manages bilateral and sectoral FDI datasets and other relevant indicators required for the analysis which pertain to phantom FDI and related IFFs risks in pilot countries.</li><li>Reviews, validates and harmonizes FDI related data and apply appropriate statistical techniques to address data quality issues, inconsistencies and gaps.</li><li>Provides technical support in the implementation of econometric modeling and analysis to identify anomalous investment patterns, high-risk foreign jurisdictions and domestic sectors potentially linked to phantom FDI.</li><li>Contributes to the development of country and sector-level risk profiles through the analysis of medium and long-term investment trends, bilateral investment relationships, and relevant risk indicators.</li><li>Supports in compiling and mapping risk indicators to identify high-risk sectors and counterpart countries, with visual outputs tailored to the context of pilot countries.</li><li>Maintains, updates and documents structured datasets and related analytical files and load data into a computerized database system.</li><li>Develops statistical tables, visualizations, dashboards, and other analytical products using appropriate analytical and visualization tools to illustrate key findings and trends related to phantom FDI and IFF risks.</li><li>Contributes to the design of interactive dashboards and visualization interfaces that illustrate key indicators and investment patterns including the development of related wireframes.</li><li>Conducts statistical analysis to support the preparation of background material, technical notes, and presentations for project outputs.</li><li>Contributes to ongoing work related to IFFs, including analytical support to the development and updating of scorecard.</li><li>Assist in the preparation of literature reviews, research papers and presentations.</li><li>Prepares a variety of reports, presentations, tables, lists, graphs, charts, and/or diagrams based on the data analyzed for information.</li><li>Collaborate closely with team members in the field of Financing for Development and provides substantive support for project activities, expert meetings, consultations, workshops, and other related tasks as required.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A Master's degree in economics, applied economics, finance, econometrics or in a related area is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>A minimum of two years of professional work experience in research, data extraction or using statistical tools is required.</li><li>A minimum of one year of professional experience in practical user-friendly tools to support trend analysis, scenario development and the visualization of desired futures is required.</li><li>Proficiency in statistical software (i.e STATA, EVIEWS) is required.</li><li>Knowledge of the time series macro econometric models and panel data analysis is required.</li><li>Knowledge of Vector Autoregressive Models (VARs) or Structural VAR is desirable.</li><li>Knowledge of panel data modeling approaches including fixed effects, dynamic panel models, gravity models and generalized method of moments (GMM) is desirable.</li><li>Fluency of English and Arabic are required.</li></ul><p></p></section>

Key Responsibilities: <br>• Prepare and organize procurement files, supplier quotations, and pricing sheets <br>• Collect, enter, and validate procurement and pricing data <br>• Analyze and compare supplier quotations, prices, quantities, specifications, and commercial terms <br>• Prepare supplier price comparison tables and procurement reports <br>• Calculate and verify prices, discounts, costs, and price differences <br>• Maintain product, supplier, and pricing databases <br>• Compare current and historical prices and identify significant variations <br>• Support spending analysis and identify potential cost-saving opportunities <br>• Coordinate with suppliers and internal departments when clarification is required <br>• Improve Excel templates and reporting tools <br> <br>Requirements: <br>• Bachelor’s degree in Mathematics, Engineering, Computer Science, Statistics, or a related field <br>• Fresh graduate or up to 1 year of relevant experience <br>• Strong numerical, analytical, and problem-solving skills <br>• Good knowledge of Microsoft Excel <br>• Strong attention to detail and accuracy <br>• Good organizational and communication skills <br>• Ability to work independently and as part of a team <br>• Willingness to learn procurement, pricing, and supplier management <br> <br>Schedule: <br>Monday–Friday: 8:00 AM–5:00 PM <br>Saturday: 8:00 AM–1:00 PM <br>Saturday rotation applies for 6 months (March–August)

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The IC is expected to provide the required research support on areas 1-6 to be delivered on a timely manner. The IC should also help in finalizing all comments provided and should provide all codes and data sets and programs related to the projects by the end of the contract in an organized manner.<br> Work Location<br>UN-House- ESCWA / Hybrid<br> Expected duration<br>5 months<br> Duties and Responsibilities<br>Background The world is currently experiencing the Fourth Industrial Revolution. With this transition, the velocity of change and the sheer number of innovations are unprecedented. This revolution will inevitably eliminate many current lines of work yet has the capacity to bring in new lines of employment. The agility of this revolution makes the jobs of the future difficult to predict using traditional techniques. Given this background, this project will tackle three main issues: • The lack of timely information to monitor the dynamism of the labor market needs. • The mismatch between human capital accumulation and labor market demand. • Labor market policies and regulations are mostly outdated and unprepared for the impact of automation on jobs in most ESCWA countries. Under the supervision of the Team Leader of Future of Work Project and the overall guidance of the cluster lead, the Individual Contractor will assist the Future of work project in scraping activities. Tasks - duties and responsibilities The Individual contractor will mainly contribute to the following areas: 1. Identifying job and employment-related websites for potential data scraping, under guidance. 2. Basic knowledge of ethical guidelines and legal boundaries in web scraping, focusing on adhering to terms of service and privacy laws of targeted websites. 3. Developing foundational skills in creating simple algorithms for extracting data like job listings and company information, and skills from websites. 4. Working using web scraping tools and technologies, such as Python libraries (BeautifulSoup, Scrapy), with an emphasis on learning and application under supervision. 5. Monitoring and updating scraped data, with an emphasis on understanding their importance and basic functionality. 6. Identify and solve basic issues during the web scraping process, with support from more experienced team members.<br> Qualifications/special skills<br>A bachelor’s degree in computer science, data science, or other related computer fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1 year of experience in scrapping 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 and Arabic is required. Knowledge of French 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>Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms. The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions. Key Responsibilities 1. Solution Design Design and implement integration solutions using Azure services such as: Azure Logic Apps (Standard &amp; Consumption) Azure Service Bus (Queues, Topics, DLQ) Azure API Management Event Grid / Event Hub Azure Functions Translate functional requirements into scalable integration architectures. Build robust retry, error-handling, dead-lettering, and monitoring patterns. 2. Development &amp; Implementation Develop integration workflows using Logic Apps (stateful and stateless). Implement synchronous and asynchronous messaging patterns. Build APIs and connectors for internal/external system integrations. Implement CI/CD pipelines for integration components (Azure DevOps/GitHub). Build reusable components, templates, and enterprise integration patterns. 3. Service Bus &amp; Messaging Configure queues, topics, subscriptions, and rules. Implement DLQ handling, repair &amp; replay, and quarantine logic. Ensure message security, idempotency, and guaranteed delivery. 4. API Management Publish, secure, and monitor APIs using Azure API Management. Implement policies (rate limiting, caching, transformation, authentication). Manage API lifecycle and developer onboarding. 5. Monitoring &amp; Support Implement alerting and observability using: Application Insights Log Analytics Azure Monitor Troubleshoot integration failures, performance issues, and message dead-lettering. Support production workloads, ensure platform reliability, and optimize cost. 6. Security &amp; Governance Apply best practices for identity and access management (Azure AD). Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault. Ensure compliance with company governance and Azure landing zone policies.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><p><strong>Required Skills &amp; Qualifications</strong></p><ul><li>Bachelor s degree in Computer Science, Software Engineering, Information Systems, or a related field.</li><li>Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).</li><li>Experience or familiarity with programming languages such as Python, Java, C#, or SQL</li><li>Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.</li><li>Understanding of data formats such as JSON, XML, CSV, and Parquet.</li><li>Familiarity with REST APIs and data exchange mechanisms.</li><li>Basic exposure to cloud platforms (Azure) is an advantage.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Job Overview</strong></p><br><p>Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms.</p><br><p>The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Solution Design </strong></p><br><ul><li>Design and implement integration solutions using Azure services such as:<ul><li><strong>Azure Logic Apps (Standard &amp; Consumption)</strong></li><li><strong>Azure Service Bus (Queues, Topics, DLQ)</strong></li><li><strong>Azure API Management</strong></li><li><strong>Event Grid / Event Hub</strong></li><li><strong>Azure Functions</strong></li></ul></li><li>Translate functional requirements into scalable integration architectures.</li><li>Build robust retry, error-handling, dead-lettering, and monitoring patterns.</li></ul><p><strong>2. Development &amp; Implementation</strong></p><br><ul><li>Develop integration workflows using Logic Apps (stateful and stateless).</li><li>Implement synchronous and asynchronous messaging patterns.</li><li>Build APIs and connectors for internal/external system integrations.</li><li>Implement CI/CD pipelines for integration components (Azure DevOps/GitHub).</li><li>Build reusable components, templates, and enterprise integration patterns.</li></ul><p><strong>3. Service Bus &amp; Messaging</strong></p><br><ul><li>Configure queues, topics, subscriptions, and rules.</li><li>Implement DLQ handling, repair &amp; replay, and quarantine logic.</li><li>Ensure message security, idempotency, and guaranteed delivery.</li></ul><p><strong>4. API Management</strong></p><br><ul><li>Publish, secure, and monitor APIs using Azure API Management.</li><li>Implement policies (rate limiting, caching, transformation, authentication).</li><li>Manage API lifecycle and developer onboarding.</li></ul><p><strong>5. Monitoring &amp; Support</strong></p><br><ul><li>Implement alerting and observability using:<ul><li><strong>Application Insights</strong></li><li><strong>Log Analytics</strong></li><li><strong>Azure Monitor</strong></li></ul></li><li>Troubleshoot integration failures, performance issues, and message dead-lettering.</li><li>Support production workloads, ensure platform reliability, and optimize cost.</li></ul><p><strong>6. Security &amp; Governance</strong></p><br><ul><li>Apply best practices for identity and access management (Azure AD).</li><li>Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault.</li><li>Ensure compliance with company governance and Azure landing zone policies.</li></ul><br>Qualifications<br><p><strong>Required Skills &amp; Qualifications</strong></p><br><ul><li>Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.</li><li>Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).</li><li>Experience or familiarity with programming languages such as <strong>Python, Java, C#, or SQL</strong></li><li>Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.</li><li>Understanding of data formats such as JSON, XML, CSV, and Parquet.</li><li>Familiarity with REST APIs and data exchange mechanisms.</li><li>Basic exposure to cloud platforms (Azure) is an advantage.</li></ul><br>Additional Information<br><p><strong>Soft skills</strong></p><br><ul><li>Strong analytical skills and capacity to challenge the financial information received</li><li>High sense of organisation and able to manage multiple tasks with strong attention to detail</li><li>Excellent communication skills with the ability to interact with international stakeholders</li><li>Curious, proactive,&nbsp; keen to learn and ready for new challenges</li><li>Ability to work independently while also having a team-oriented mindset.</li></ul><p><strong>Languages</strong></p><br><ul><li>Excellent knowledge of English (written and verbal communication skills)</li><li>Knowledge of any other language is a plus (French)</li></ul><br><br> </div>

No prior experience required — full training provided. Ideal for candidates from operations, logistics, sales, or hospitality backgrounds looking to start a career in manufacturing. <br> <br>Job Title: Operations Assistant – Labeling & Production (Entry Level) <br>Department: Production <br>Location: Zekrit, Metn <br>Employment Type: Full-time <br> <br>Role Purpose <br>The Operations Assistant supports daily labeling and production operations by preparing accurate product labels, coordinating with production and warehouse teams, and ensuring labeling activities run smoothly and on time. This is an entry-level operational role ideal for fresh graduates or candidates from operations, logistics, sales, or hospitality backgrounds looking to build a career in manufacturing operations. <br>Key Responsibilities <br> <br>Prepare and print product labels based on daily production and customer orders. <br>Verify label accuracy, including product details, barcodes, and expiry dates. <br>Coordinate with Production, Warehouse, and Customer Service teams to ensure timely labeling. <br>Monitor and report label stock levels and shortages. <br>Update labeling records and Excel tracking files. <br>Identify and report labeling errors or discrepancies, and assist in resolving them. <br>Support the wider production team with related operational tasks as needed. <br> <br>Requirements <br> <br>0–1 year of experience — fresh graduates strongly encouraged to apply. <br>Backgrounds in operations, logistics, sales, hospitality, or production are welcome — no prior admin/office experience required. <br>This role is best suited to entry-level candidates; candidates with extensive administrative or office-based experience may find the role too junior. <br> <br>Qualifications <br> <br>TS diploma or equivalent. <br> <br>Language/Literacy <br> <br>Arabic and English required. <br>French is a plus. <br>Basic computer literacy required (Excel, Word). <br> <br>Behaviors & Ethical Requirements <br> <br>Reliability and punctuality in a fast-paced production environment. <br>Honesty in reporting errors or discrepancies. <br>Respect for teamwork across departments. <br> <br>Key Competencies <br> <br>Attention to detail and accuracy. <br>Organizational skills. <br>Communication and teamwork. <br>Willingness to learn and adapt. <br> <br>Recommended Training <br> <br>Full on-the-job training provided on labeling systems, barcode verification, and internal Excel tracking tools. <br> <br>Key Performance Indicators (KPIs) <br> <br>Label accuracy rate. <br>On-time labeling completion per production schedule. <br>Timely reporting of stock shortages/errors. <br> <br>Working Conditions/Physical Requirements <br> <br>Based in a production/warehouse environment; standing and moving between stations required. <br> <br>What We Offer <br> <br>Full training provided. <br>Supportive work environment. <br>Competitive salary and benefits. <br>Career growth opportunities from entry level

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The consultant is expected to deliver: • The report prepared should be in Arabic and in electronic format. • The report submitted should not be less than 30 pages. • A 2 to 4 pages executive summary of the report. All deliverables must be submitted in Arabic (with professional quality and clarity). The completed parts should be edited and saved in MS-Word (*.docx file) or an alternate compatible format. Note that PDF format will not be accepted. It should include a table of contents to be automatically updated followed by a list of all tables and figures. The various parts should be submitted in electronic form and sent to the email of the designated focal point. Attention is kindly drawn to the need to ensure that the final draft of the outputs be thoroughly reviewed prior to submission and to indicate the sources of tables and diagrams. References to reports and other substantive material should be clearly indicated within the text and noted at the end. It is also essential to send, with the completed output, photocopies or scans of at least the first page of books, reports and bulletins, used as reference material as well as copies of the pages quoted. The content of the generated document shall be the sole property of ESCWA. Their contents cannot and must not be presented, discussed or published without the express authorization of ESCWA. The consultant shall keep in mind that UN-ESCWA routinely checks all deliverables for plagiarism using readily available electronic tools. All previously published content, even if written by the selected consultant, must be clearly referenced where required within the text and end-noted at the end of the study. The report submitted by the consultant must not contain quoted, previously published text equalling more than 20 per cent of the total number of pages. The consultant shall not publish or announce or reveal the content of the report, partly or entirely, on social media or any other public channel, without ESCWA and MTIT permission. The content of the generated document shall be the sole property of ESCWA.<br> Work Location<br>remote<br> Expected duration<br>16 weeks<br> Duties and Responsibilities<br>I. GENERAL SCOPE The widespread adoption of information and communications technologies (ICTs) across public and private institutions has made the establishment of comprehensive cyber and data related legislation imperative. In the Arab region, many countries have made progress in developing cyber laws; however, the rapid evolution of digital services—such as cloud computing, artificial intelligence (AI), platform economies, and cross border data flows—continues to outpace existing legal frameworks. To fully harness the benefits of digital transformation while addressing risks related to privacy, security, and misuse of data, Arab countries are encouraged to develop and modernize their legislative frameworks to meet the demands of the digital age. At the global level, the UN promotes responsible, inclusive, and trustworthy use of digital and emerging technologies in support of sustainable development. In September 2024, world leaders adopted the Pact for the Future during the Summit of the Future, together with its annexes: the Global Digital Compact (GDC) and the Declaration on Future Generations. The GDC places strong emphasis on digital trust, effective digital governance, and the protection of human rights in the digital environment. Central to these objectives is the protection of personal data, which the GDC recognizes as a cornerstone of trust in digital systems and a prerequisite for people’s safe and meaningful participation in the digital economy. The UN ESCWA has a long standing role in supporting its member States in the development and reform of cyber legislation. In 2007, UN ESCWA published Models for Cyber Legislation in UN ESCWA Member Countries, which reviewed regional and international legal developments and proposed practical templates to assist countries in assessing and harmonizing national cyber laws. Through its technical cooperation program, UN ESCWA continues to support member States in strengthening legal, institutional, and regulatory capacities related to digital and emerging technologies, including data protection and regulatory oversight. Recently, the Ministry of Telecommunications and Information Technology (MTIT) in Yemen has requested UN ESCWA’s advisory services to support the development of a personal data protection law aligned with international standards and regional best practices. Such a law would contribute to strengthening trust in digital services, protecting individuals’ rights, and supporting Yemen’s broader digital transformation efforts in line with global developments, including the principles set out in the GDC. In response, UN ESCWA is engaging a qualified legal consultant to provide specialized expertise in personal data protection, with specific attention to the Yemeni legal and institutional context. Yemen's ongoing conflict and fragile institutional environment require that the draft law include a realistic implementation sequencing recommendation, identifying which provisions can be operationalized in the near term and which require institutional prerequisites, such as the establishment of a data protection authority. The consultant shall draw on established international frameworks including the EU General Data Protection Regulation (GDPR), the OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data (2013 revision), the Council of Europe Convention 108+, and the Arab League's draft model data protection law, selecting and adapting provisions appropriate to Yemen's legal, institutional, and developmental context. This consultancy is part of a coordinated package of three inter-related legal instruments being developed simultaneously for Yemen: Access to Information Law, Personal Data Protection Law, and an e-Transactions and Trust Services Law. The consultant shall be aware of this broader legislative package and shall flag, in the drafting notes annex, any provisions in the assigned law that intersect with or depend upon the other instruments, to ensure coherence across the three laws. The advisory services, including the scope of work and expected outputs, are detailed in these Terms of Reference. III. DUTIES AND RESPONSIBILITIES The consultant shall propose to the designated ESCWA focal point a detailed version of the report on personal data protection law. To produce the draft report, the consultant is requested to conduct, among others, the main following tasks: 1. Benchmarking and Best Practices • Review current national laws related to digital and emerging technologies in Yemen; • Review best regional and international practices in personal data protection law covering at least 2 regional cases and 2 international cases, with justification for case selection provided in the report; 2. Stakeholder Engagement • Identify main national stakeholders, hold, in coordination with MTIT, interviews and meetings with the main national stakeholders and preparing minutes of each meeting/interview summarizing the discussed points, their remarks, observations and proposals; • Contribute to sectoral workshops to discuss needs and priorities, if needed; • Discuss priorities and needs with MTIT and ESCWA; • Document findings, priorities, and challenges. 3. Situational analysis • Analyze existing legislation, and regulatory frameworks, including data-related provisions currently embedded in Yemen's telecommunications law, e-government frameworks, and sector-specific regulations, mapping these against international PDPL standards; • Conduct a comprehensive gap analysis to identify gaps, overlaps, and contradictions with international PDPL standards 4. Law Development • Draft a suggested law based on national needs, gap analysis, international/regional best practices, and ESCWA template for cyber legislations. The draft Personal Data Protection Law (PDPL) shall include, at a minimum: o Preamble, objectives, and guiding principles (including lawfulness, fairness, transparency, purpose limitation, data minimisation, accuracy, storage limitation, integrity, and confidentiality); o Definitions and material/territorial scope of application (including extraterritorial reach, where applicable); o Legal bases for processing personal data, including consent, contractual necessity, legal obligation, vital interests, public interest, and legitimate interests, with specific conditions for validity of consent; o Special categories of personal data (sensitive data) and rules governing their processing, including additional safeguards; o Data subject rights, including access, rectification, erasure, restriction of processing, data portability, objection, and rights related to automated decision-making and profiling; o Obligations of data controllers and data processors, including accountability, record-keeping, data protection by design and by default, use of processors, and contractual requirements; o Transparency and information obligations, including privacy notices and communication requirements; o Data security requirements, including technical and organisational measures; o Personal data breach notification and incident response obligations, including notification to the supervisory authority and, where applicable, affected data subjects; o Data protection impact assessments (DPIAs) and prior consultation mechanisms for high-risk processing; o Appointment and role of data protection officers (DPOs), where required; o Cross-border data transfer rules, including adequacy mechanisms, appropriate safeguards, and specific consideration of GCC and Arab regional frameworks; o Supervisory authority: establishment, independence, powers, functions, and cooperation mechanisms (including international cooperation); o Complaints, remedies, and judicial redress mechanisms for data subjects; o Administrative sanctions, penalties, and enforcement mechanisms; o Exemptions and derogations, including for national security, public interest, research, and journalistic purposes, subject to safeguards; o Specific provisions for children’s data, where applicable; o Transitional provisions and entry into force. 5. Validation and Consultation • Present and discuss, under the guidance of ESCWA and MTIT teams, the draft law with national entities in an enlarged meeting or workshop; • Update and enrich the suggested draft based on the comments received during the workshop/meeting and from ESCWA and MTIT team. 6. Finalization • Deliver a final report that includes a summary of implemented activities with the suggested law, and an implementation annex proposing a phased roadmap for the law's entry into force. ESCWA promotes gender equality and integration of youth through its publications and therefore the consultant should pay attention, with the help of ESCWA staff, to gender considerations and youth dimension throughout the research work to ensure that the report gives equal attention to the needs of both men and women, as well as girls and boys. Writing should use gender-sensitive language.<br> Qualifications/special skills<br>An advanced university degree in law or a related field is required. A Ph.D. degree is desired. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least 5 years of demonstrated experience in the drafting or regulatory advisory assessment of personal data protection legislation is required. Familiarity with the Yemeni legal system or civil law systems in the Arab region is desirable. Expertise in digital technology and digital identity issues is desirable. Previous experience in the delivery of research papers is desirable<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 written and spoken English and Arabic is required 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>

Data Analyst Job Description (JD) <br>Job Title <br> <br>Data Analyst <br> <br>Job Summary <br> <br>We are seeking a Data Analyst to collect, process, and analyze data to help drive business decisions. The ideal candidate will transform complex data into actionable insights, create reports and dashboards, and collaborate with stakeholders to improve business performance. <br> <br>Key Responsibilities <br>Gather, clean, and validate data from multiple sources. <br>Analyze large datasets to identify trends, patterns, and business opportunities. <br>Develop and maintain dashboards, reports, and data visualizations. <br>Write and optimize SQL queries for data extraction and analysis. <br>Perform statistical analysis and interpret results for business stakeholders. <br>Monitor key performance indicators (KPIs) and provide regular performance reports. <br>Collaborate with business teams to understand reporting requirements. <br>Automate reporting processes and improve data workflows. <br>Ensure data accuracy, consistency, and integrity. <br>Present findings and recommendations to management and stakeholders. <br>Required Qualifications <br>Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field. <br>1–3+ years of experience in data analysis or a related role. <br>Strong proficiency in SQL. <br>Advanced knowledge of Microsoft Excel. <br>Experience with data visualization tools such as Power BI or Tableau. <br>Understanding of statistical concepts and data analysis techniques. <br>Strong analytical and problem-solving skills. <br>Excellent communication and presentation abilities