Database Developer Jobs

<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>

WE ARE HIRING – STOCK & INVENTORY DATA ENTRY CLERK <br> <br>We are looking for a detail-oriented and organized Data Entry Clerk to join our Stock / Inventory Department. <br> <br>Key Responsibilities: <br> <br>Enter and update stock and inventory data accurately in the system. <br> <br>Record incoming and outgoing stock, transfers, and adjustments. <br> <br>Verify quantities and information against invoices, delivery notes, and warehouse documents. <br> <br>Maintain accurate and up-to-date inventory records. <br> <br>Assist with regular stock counts and investigate discrepancies. <br> <br>Prepare basic inventory reports and maintain proper documentation. <br> <br>Coordinate with the warehouse, purchasing, and accounting teams when required. <br> <br>Requirements: <br> <br>Previous experience in data entry, inventory, warehouse, or stock control is preferred. <br> <br>Good knowledge of Microsoft Excel and computer systems. <br> <br>Excellent attention to detail and accuracy. <br> <br>Good organizational and communication skills. <br> <br>Ability to work independently and meet deadlines

<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>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Beirut, Lebanon is seeking to recruit a Data Entry Clerk.</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<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>

<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>&amp;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>&amp;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>&amp;nbsp;</p><br><p><strong>Qualifications: Education &amp;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>&amp;nbsp;</p><br><p><strong>What we are looking for</strong></p><br><ul><li><strong>A Doer:</strong>&amp;nbsp;you get things done and inspire your teams to do the same</li><li><strong>An Analyst:&amp;nbsp;</strong>you LOVE data and think every company should take their decisions with facts</li><li><strong>A Pragmatist:</strong>&amp;nbsp;you have a hacker mindset and always find the quick wins</li><li><strong>A Mentor:</strong>&amp;nbsp;your clients and teams naturally seek for advice</li><li><strong>An Adventurer:&amp;nbsp;</strong>you’re an entrepreneur constantly looking for problems to solve</li></ul><p>&amp;nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&amp;nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&amp;nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&amp;nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&amp;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>&amp;nbsp;</p><br> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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?&amp;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?&amp;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:&amp;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>

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. <br> <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 <br> <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

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

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

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

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

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

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

<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"> About the job Data Security &amp; Compliance Lead <p><strong>Company Overview:</strong></p><br> <p>Our client is a global Microsoft Cloud Solutions Partner delivering digital transformation, cybersecurity, data and managed services. The group is headquartered across the UAE (Dubai), with its largest and most technical team based in Lebanon, operations established in London over the past two years, and early-stage market entry underway in the US.</p><br> <p><strong>Job Summary:</strong> </p><br> <p>Our client is&nbsp;seeking a skilled Data Security &amp; Compliance Specialist to lead the implementation of data security, classification, retention, and governance policies using Microsoft Purview for customers across the MEA region. The ideal candidate will have at least 4 years of focused experience in the data security field, including a minimum of 2 years of hands-on experience with Microsoft Purview, specifically in Data Loss Prevention, Data Classification, Cloud Access Security Broker, and governance capabilities such as retention policies, Insider Risk Management, and Records Management.   </p><br> <p>This role involves overseeing at least one team member, with potential for expanded leadership responsibilities. Strong expertise in Microsoft Purview is required, and experience with third-party data security solutions is highly valued, making this an excellent opportunity for professionals with a diverse security background. Familiarity with MDM &amp; MAM solutions, particularly Microsoft Intune, as well as conditional access policies is a plus. This position offers a dynamic environment with opportunities for growth and leadership in the data security domain. </p><br> <p><strong>Key Responsibilities</strong>:</p><br> <p><strong>1. Data Security &amp; Governance Implementation:</strong></p><br> <ul><li> Design, implement, and optimize data security solutions using Microsoft Purview or other leading DLP and data governance tools.</li><li>Develop and enforce DLP, Insider Risk Management, DSPM for AI and CASB policies to prevent unauthorized data access and ensure compliance.</li><li>Implement data classification and labelling strategies to enhance data protection.</li><li>Define and manage data retention policies in alignment with regulatory and business requirements.</li><li>Deploy and manage AIP on-premises scanner to classify and protect on-premises data.</li><li>Integrate CASB with on-premises firewalls to strengthen security controls and enhance visibility into both cloud and on-premises environments.</li><li>Lead the implementation and configuration of Microsoft Priva and Microsoft Purview Data Map.</li><li>Ensure compliance with industry regulations such as GDPR, NCA, and ISO 27001.</li><li>Support Data Security Posture Management (DSPM) initiatives by assessing risks, monitoring data flows, and optimizing security policies to enhance data visibility, governance, and protection.</li><li>Build templates and automation for Data Security &amp; Governance Implementation, ensuring consistency and efficiency in deployments.</li><li>Automate policy deployments and security configurations using available methods such as PowerShell, APIs, and Microsoft Security &amp; Compliance tools.</li><li>Deploy MDM, MAM, and Conditional Access policies to address security gaps and enhance access controls.</li><li>Oversee the implementation of security-related projects, from initial scoping to post-deployment support, ensuring timely and budget-compliant execution.</li><li>Develop High-Level Designs (HLD) and Low-Level Designs (LLD) for project implementation, assess customer environments, and create RFIs and IRLs as needed.</li></ul> <p><strong>2. Monitoring, Incident Response, and Optimization:</strong></p><br> <ul><li> Monitor and respond to data security incidents, ensuring proper investigation and resolution.</li><li>Analyze data security risks and implement best practices to mitigate threats.</li><li>Optimize security policies and controls based on evolving business needs.</li></ul> <p><strong>3. Team Supervision &amp; Cross-Functional Collaboration:</strong></p><br> <ul><li> Supervise at least two team members, with potential for increased leadership responsibilities.</li><li>Work closely with cross-functional teams and customers to align security policies with business objectives and ensure seamless implementation.</li><li>Collaborate with stakeholders to continuously enhance security posture and governance policies in response to evolving business needs.</li><li>Deliver end-user and administrator workshops to ensure proper understanding and adoption of data security, classification, governance policies, and compliance tools.</li></ul> <p><strong>4. Documentation &amp; Project Support:</strong></p><br> <ul><li> Contribute to Scope of Work (SOW) and project scoping, defining clear deliverables and implementation roadmaps.</li><li>Develop and maintain implementation documentation, end-user guides, and administrative manuals to support technology adoption.</li><li>Ensure the availability and functionality of a technical test environment for internal testing and experimentation with new technologies, coordinating maintenance, updates, and enhancements as needed.</li></ul> <p><strong>Qualifications &amp; Experience:</strong></p><br> <p><strong>Education:</strong></p><br> <ul><li> Bachelor's degree in computer science, Information Technology, Cybersecurity, or a related field. </li></ul> <p><strong>Experience:</strong></p><br> <ul><li> Minimum of 4 years of experience in implementing data security, compliance, and governance solutions, with a strong focus on Microsoft Purview.</li><li>At least 2 years in a supervisory role, overseeing the implementation and delivery of data protection and compliance initiatives.</li><li>Hands-on experience implementing Microsoft Purview Information Protection solutions, including DLP, data classification, retention policies, and regulatory compliance.</li><li>Experience implementing data governance, risk management, and regulatory compliance requirements aligned with frameworks such as GDPR, NCA, and ISO 27001.</li><li>Extensive experience working with Microsoft Purview Compliance Portal, Insider Risk Management, eDiscovery, and Audit.</li><li>Experience with Microsoft Purview Data Loss Prevention (DLP) policies across Microsoft 365 services, including Teams, SharePoint, OneDrive, and Exchange Online.</li><li>Strong understanding of Microsoft Information Protection (MIP)for labeling, encryption, and rights management.</li><li>Familiarity with Microsoft Defender for Cloud Apps for data security monitoring and threat detection.</li><li>Knowledge of Microsoft Intune for Mobile Device Management (MDM) &amp; Mobile Application Management (MAM)and how it integrates with Conditional Access policies for secure access control.</li><li>Ability to effectively communicate data protection strategies, compliance requirements, and risk management policies to both technical and non-technical stakeholders.</li></ul> <p><strong>Certifications</strong>:</p><br> <p><strong>Required Certifications:</strong></p><br> <ul><li> GIAC Certified Data Protection or an equivalent certification.</li><li>Vendor certifications in DLP, Data Classification, Litigation Holds, or governance tools.</li><li>Preferred Certifications as below:</li><li>Microsoft Certified: Information Protection Administrator Associate (SC-400)</li><li>Cybersecurity Architect Expert (SC-100)</li></ul> <p><strong>Skills:</strong></p><br> <ul><li> Strong leadership and team management capabilities.</li><li>Excellent project management skills.</li><li>Knowledge in security solution design and architecture.</li><li>Proficiency in data security tools such as DLP, Data Classification, and CASB.</li><li>Strong analytical and problem-solving abilities, with attention to detail and the ability to work under pressure.</li><li>Effective communication and customer engagement skills.</li><li>Thorough understanding of quality assurance practices and methodologies.</li><li>Hands-on experience in implementing Microsoft Purview solutions.</li><li>Proven experience in configuring and troubleshooting security solutions.</li><li>Commitment to staying updated with emerging data security trends, risks, technologies, and best practices to enhance protection and compliance.</li></ul> <br> <br> </div>

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

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