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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance. The Data Analyst collaborates with cross-functional teams to identify trends, evaluate operational metrics, and develop actionable insights that support strategic initiatives and improve business outcomes. Responsibilities include analyzing large datasets, building dashboards and reports, and providing leadership with clear, data-driven recommendations. Success in this role requires a strong technical foundation, attention to detail, and the ability to communicate complex information in a clear and concise manner. The ideal candidate thrives in a fast-paced environment and is passionate about using data to solve operational challenges and enhance organizational performance.</p><p>Key Responsibilities:</p><ul><li>Gathering business data and reporting requirements from stakeholders, business owners and users from the Manufacturing domain for metrics used to monitor business performance.</li><li>Making large and/or complex data more accessible, understandable and usable.</li><li>Analyze complex data sets to identify patterns, trends, and insights for all operational teams.</li><li>Transforming, improving, and integrating data, depending on the business requirements.</li><li>Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.</li><li>Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.</li><li>Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools &amp; techniques.</li><li>Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.</li><li>Ensure data integrity and accuracy by implementing best practices in data management and governance.</li><li>Visualize performance data in LUCID standard live dashboards formats.</li><li>Stay up to date with industry trends and best practices in data analytics and visualization tools.</li><li>Connecting to various systems and a data warehouse to deliver the data in a useful and appealing way to users.</li><li>Access technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and provide technical solutions as needed.</li></ul><p>Skills:</p><ul><li>Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>Demonstrated project management abilities, including the ability to prioritize tasks, manage timelines, and allocate resources effectively.</li><li>Ability to deep-dive data from both a top-down and bottom-up approach.</li><li>Ability to think strategically and communicate strategies effectively.</li><li>Experience in the Automotive Industry (OEM or Tier 1 Suppliers).</li><li>Experience working in a dynamic/start-up environment is a plus.</li><li>Flexibility in the work schedule is required (to include evenings and weekends, as needed).</li><li>Advanced skills in Python or other general-purpose programming language, Microsoft office advanced user.</li><li>Working knowledge of Smartsheet, SAP, JIRA, Tableau, and any costing software.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in engineering, Supply Chain, Finance, Data Science, or equivalent experience in a related field.</li><li>3-5+ years of experience in data analytics, reporting, visualization, Python, etc.</li><li>Advanced degree in a relevant field.</li><li>Experience with complex analysis and data analytics in a Manufacturing context.</li><li>In-depth understanding of automotive Interior market dynamics and performance reporting mechanisms.</li><li>Competency with SQL, Tableau and other data visualization software.</li><li>Ability to manage multiple priorities and make strategic decisions.</li><li>Creative problem-solver with calculated risk-taking ability.</li><li>Experience in supplier relationship management and dispute resolution.</li><li>Knowledge of automotive industry trends and emerging technologies in Interior components.</li><li>Cost Engineering experience.</li><li>Start-up working experience is a plus.</li></ul><p></p></section>

Sports Data Collector (Sports Scout)<br><br>Independent Contractor | Paid per game<br><br>Please note: All CVs are required to be submitted in English.<br><br>Love sports? Turn your passion into paid experience.<br><br>Genius Sports is a global sports technology company powering official live data for the world's biggest leagues, federations, and media platforms.<br><br>We're recruiting Sports Data Collector (Sports Scout) to attend live sporting events and collect real-time, play-by-play data using our proprietary software.<br><br>What you'll do<br><br>Attend live sports events in your local area from Saudi Arabia Pro League and lower profile competitions Record accurate, real-time game data (scores, plays, key events) Use mobile technology in a fast-paced, live environment <br><br>What we're looking for<br><br>Strong knowledge of the sport Reliable, detail-oriented, and organized Availability on evenings and weekends 18+ years old <br><br>What we offer<br><br> Fixed payment per game – 62 € Travel & Ticket Reimbursement Flexible, game-based work Training and testing provided <br><br>Interested?<br><br>Tell us a bit about yourself and we'll be in touch.<br><br>???? Learn more about our Statisticians Network:<br><br>https://www.geniussports.com/careers/statisticians-network/<br><br>Genius Sports is an equal opportunities employer.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Data Entry Specialist is responsible for entering and updating data in company systems accurately and promptly, ensuring the correctness and safety of the information. Additionally, the role involves organizing records and files, preparing basic reports, and coordinating with various departments to ensure the availability of necessary data to support operational workflows.</p><p><b>Responsibilities</b></p><ul><li>Inputting and updating data in company systems accurately and swiftly.</li><li>Reviewing data and ensuring its accuracy before approval.</li><li>Organizing and maintaining physical and electronic files and records.</li><li>Extracting simple reports as needed.</li><li>Coordinating with various departments to complete or correct data.</li><li>Maintaining the confidentiality of information and adhering to company policies.</li><li>Reporting any errors or incomplete data to the relevant authority.</li><li>Utilizing Microsoft Office programs and company systems (such as SAP) for data entry and management.</li><li>Executing any other administrative tasks assigned by the direct supervisor.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ol><li>Basic computer skills and data entry proficiency.</li><li>Fundamental knowledge of Microsoft Office programs, especially Excel.</li><li>Attention to detail.</li><li>Ability to follow instructions and work procedures.</li><li>Basic communication skills.</li><li>Ability to organize files and records.</li><li>Willingness to learn and develop.</li><li>Ability to work independently and as part of a team.</li></ol></div>

<p><strong>Title: </strong>Business Data Automation &amp; AI Senior Manager</p><p><strong>Department: </strong>Corporate Banking - Data Management</p><p><strong>Location: </strong>Riyadh</p><p><br></p><p><strong>Core Responsibilities:</strong></p><p><br></p><ul><li>Strengthens CIB's reporting foundation by maximizing automation of business and regulatory reports, reducing manual effort, operational risk and turnaround time.</li><li>Drives the Business-side enablement of AI capabilities within CIB, working within the Bank's AI governance framework and Central Bank regulatory requirements, positioning CIB to capture efficiency gains and new analytics-driven insights.</li><li>Improves data quality and consistency across downstream reporting and analytics platforms, unlocking more reliable, data-driven decision-making for CIB business heads.</li><li>Provides critical delivery capacity to the CIB Data Management function, supporting the Senior Data Management Manager across regulatory, governance and transformation priorities.</li><li>Own and drive the CIB business agenda for the adoption and scaling of Artificial Intelligence (AI) and advanced analytics use cases across Corporate &amp; Institutional Banking.</li><li>Identify and prioritize use cases, build the business case, define business requirements, and drive execution in close partnership with IT, DMO and the relevant governance functions.</li><li>Own and maintain the CIB AI enablement roadmap: prioritize use cases by business value, track delivery progress, resolve roadblocks, and escalate cross-functional dependencies to Senior Management.</li><li>Ensure every AI/ML solution deployed within CIB complies with the Bank's AI governance framework and Central Bank regulations, including model risk, responsible/ethical AI use, and data privacy requirements.</li><li>Lead the automation of manual queries and legacy workbooks into sophisticated, production-grade business and regulatory reports using EDW and BI tools (e.g. Tableau, Denodo).</li><li>Design and execute complex queries to extract large-scale data from the core banking infrastructure (HUB) and the Enterprise Data Warehouse (EDW).</li><li>Seamlessly prepare business and regulatory reports and ensure timely submission.</li><li>Actively uncover data inconsistencies, anomalies and gaps across consuming downstream systems to improve data quality and enable CIB to unlock higher returns through improved data quality.</li><li>Driving Data Management, Analytics and AI-enablement projects jointly with IT, from business case preparation through requirements, architecture, delivery, testing and lifecycle sustainment.</li><li>Act as the primary liaison between CIB Business, IT, DMO translating broad business strategic imperatives into clearly scoped technical frameworks, analytics solutions and metrics.</li><li>Maintain precise program estimations, build roadmaps and communicate ongoing project status and timelines to key business heads.</li><li>Manage projects through JIRA / Confluence, ensuring transparent tracking and stakeholder visibility.</li></ul><p><br></p><p><strong>Qualifications and Requirements:</strong></p><p><br></p><ul><li>Python and expert-level SQL for data extraction, manipulation and query optimization.</li><li>Practical experience applying machine learning and statistical modelling techniques; working knowledge of AI/GenAI tools and their responsible deployment within a regulated banking environment.</li><li>Strong hands-on proficiency with Denodo for connecting heterogeneous data sources.</li><li>Advanced dashboard design and data modelling using Tableau and Power BI to create intuitive executive readouts.</li><li>Expert competency with Alteryx / Tableau Prep for rapid workflow automation and data preparation.</li><li>Practical knowledge of Core Banking Systems (e.g., HUB, AS400) and Enterprise Data Warehouses (EDW); familiarity with Collibra is highly advantageous.</li><li>Hands-on experience managing projects through JIRA / Confluence.</li><li>Deep understanding of CIB products and value chains (trade finance, cash management, lending, treasury).</li><li>Proven background in financial services, corporate banking, or data management environments, at a senior/managerial level.</li><li>Demonstrable experience leading or playing a principal role in large-scale change and transformation programs centered on data infrastructure, enterprise analytics or AI enablement.</li></ul><p><br></p><p><br></p>

<h3 >About the Role</h3> <p >Alfanar is seeking an experienced <strong>SAP Data &amp; Analytics Services Team Lead</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to driving the delivery and execution of enterprise data and analytics solutions. The successful candidate will oversee BI, analytics, and data infrastructure teams, ensuring the provision of accurate, integrated insights and the alignment of data initiatives with overarching business goals. This position requires 5-10 years of relevant experience.</p> <h3 >Key Responsibilities</h3> <ul > <li >Define and drive the overall data and analytics strategy, ensuring alignment with the organization’s vision, mission, and strategic objectives.</li> <li >Lead the development and execution of enterprise-wide data initiatives, integrating BI, analytics, and data infrastructure functions.</li> <li >Champion a data-driven culture by promoting the use of analytics in decision-making across business units.</li> <li >Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.</li> <li >Guide the development of advanced analytics models and ensure their alignment with business needs.</li> <li >Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.</li> <li >Act as the primary liaison between the data &amp; analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.</li> <li >Translate complex data concepts into business-friendly language to support executive decision-making.</li> <li >Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.</li> <li >Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.</li> <li >Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.</li> <li >Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.</li> </ul> <h3 >Leadership and Team Development</h3> <ul > <li >Recruit, recognize, and cultivate high performers, providing opportunities for growth to build a robust second line of management.</li> <li >Identify low performers and provide guidance for improvement or manage their release.</li> <li >Ensure fair and equal treatment of all subordinates without discrimination.</li> <li >Assess subordinates based on performance that leads to planned results.</li> <li >Ensure the availability of a delegation of authority matrix to provide sufficient delegations as per company policy.</li> </ul> <h3 >Operational Accountability and Strategic Impact</h3> <ul > <li >Take full responsibility for operations and deliverables as per the job description and company guidelines.</li> <li >Anticipate potential problems and implement proactive steps to prevent them.</li> <li >Make necessary and proper decisions in a timely manner.</li> <li >Deliver required results with specified quality and cost efficiency.</li> <li >Make a tangible difference in the area of operation, exceeding business expectations.</li> <li >Transform corporate goals into actionable business plans, then plan, follow up, and execute these plans.</li> <li >Monitor plan performance, initiate actions to strengthen results, and take corrective measures as needed.</li> <li >Provide periodic work progress reports.</li> <li >Monitor and control budgets and expenses to achieve optimum cost efficiency.</li> <li >Develop the organizational structure according to current requirements, considering future and development plans.</li> <li >Ensure job descriptions are available and deployed for all job roles.</li> <li >Develop and coordinate well-defined written systems, policies, and procedures, seeking automation opportunities.</li> <li >Be conversant with and able to navigate IT solutions relevant to the job and business.</li> <li >Promote and fully utilize automated systems to foster a culture of digital adoption.</li> <li >Uphold quality as Alfanar’s prime competitive advantage in all actions and decisions.</li> </ul> <h3 >Required Experience</h3> <ul > <li >A minimum of 5 to 10 years of experience in a relevant field.</li> </ul> <h3 >Join Our Team</h3> <p >If you are a results-oriented leader with a strong background in SAP data and analytics, we encourage you to apply and contribute to Alfanar's strategic objectives in Riyadh.</p>

<h3 >About the Role at Hummus Refi</h3> <p >Hummus Refi is seeking a dedicated <strong >Data Entry Specialist</strong> to join our team. This is a full-time, on-site position based in Jeddah, within the Makkah region. The successful candidate will be responsible for maintaining the accuracy and integrity of critical company data across various systems.</p> <h3 >Role Overview</h3> <p >The Data Entry Specialist plays a crucial role in ensuring that all company information, including customer details, order specifics, inventory records, and administrative documents, is accurately entered, updated, and meticulously maintained. This position requires a high level of attention to detail and a commitment to data security within a fast-paced environment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Review data for completeness and accuracy before entry into company systems.</li> <li >Perform routine data audits and collaborate with relevant team members to resolve any discrepancies.</li> <li >Operate and utilize various computer-based applications for data management.</li> <li >Organize and maintain both digital and physical records efficiently.</li> <li >Provide up-to-date information and support to customer-facing teams as needed.</li> <li >Collaborate effectively with colleagues to ensure smooth data flow and operational efficiency.</li> <li >Adhere strictly to established data entry procedures and guidelines.</li> <li >Maintain strict confidentiality and ensure data security at all times.</li> </ul> <h3 >Qualifications and Requirements</h3> <ul > <li >Ability to perform repetitive tasks with consistent focus and accuracy.</li> <li >Strong time management skills and the ability to meet deadlines in a dynamic environment.</li> <li >Previous experience (0-1 years) in data entry, administration, or a related field is preferred but not strictly required.</li> </ul> <h3 >Work Location and Type</h3> <p >This is a <strong >full-time, on-site</strong> position. The successful candidate will be required to work from our facilities located in <strong >Jeddah</strong>, within the Makkah region.</p> <h3 >Application Information</h3> <p >Candidates who meet the above criteria are encouraged to apply. Salary details for this position will be discussed during the interview process.</p>

<p>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>This is a freelance role for a Tendem project. As a 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.</p><p><strong>Key Responsibilities</strong></p><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 available tools and 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><p><strong>Technical Skills (Essential)</strong></p><ul><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></ul><p><strong>Additional requirements</strong></p><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</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></ul><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><p>On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. 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><strong>Desired Candidate Profile</strong></p><h2>Educational qualifications</h2><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><h2>Academic and/or Professional Experience</h2><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br></p><p>The Master Data Administrator is responsible for managing, maintaining, and improving Avnzor's supplier product catalogue of approximately <b>50,000 SKUs</b>. The role ensures that all product information is accurate, complete, structured, validated, and ready for use across the company's website, mobile application, ERP, WMS, marketplaces, and internal systems.</p><p>Key responsibilities include maintaining product master data, creating and updating product records, validating data quality, onboarding new products, preparing and executing bulk uploads, managing pricing and product classifications, supporting eCommerce and marketplace listings, generating catalogue reports and dashboards, and collaborating with cross-functional teams to ensure data accuracy and operational efficiency.&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>&nbsp;Advanced proficiency in <b>Microsoft Excel</b>, including XLOOKUP, VLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, Conditional Formatting, Data Validation, and large dataset reconciliation.</li><li>Advanced <b>Google Sheets</b> skills, including Query and Import functions.</li><li>Strong experience in data cleansing, validation, consolidation, reconciliation, and analysis of large datasets (20,000–50,000+ records).</li><li>Experience with ERP, WMS, PIM, Shopify, or other eCommerce platforms.</li><li>Strong analytical, numerical, and problem-solving skills.</li><li>Excellent attention to detail with a focus on data accuracy and quality.</li><li>Ability to manage high-volume catalogue requests and prioritize multiple tasks.</li><li>Strong organizational, communication, and stakeholder management skills.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li><li>Bachelor's degree in Business Administration, Information Systems, Supply Chain, Data Management, or a related field.</li><li>2–4 years of experience in Master Data, Catalogue Management, Product Information Management (PIM), eCommerce Operations, or Buying Support.</li><li>English proficiency is required; Arabic is preferred.&nbsp;&nbsp;</li></ul><p><br></p><p><br></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Make a real impact? Help shape experiences that transform how people connect, celebrate, and engage with events? Are you excited to work with a team that challenges the status quo, breaks away from the ordinary, and builds what's next? If yes, you're in the right place. webook.com is one of the leading event ticketing and experience platforms, known for its innovation, agility, and ability to scale. We've powered some of the largest events in the region, with over 2 billion SAR in ticket sales and now we're expanding globally.</p><p>Overview</p><p>We are seeking an Advertising Data &amp; Insights Manager to lead data-driven decision-making within webook.com s Advertising &amp; Brand Partnerships function. This role will be responsible for transforming advertising performance data into clear insights, actionable recommendations, and compelling reporting that supports both internal strategy and advertiser confidence.</p><p>Key Responsibilities</p><ul><li>Extract, analyze, and interpret data from Ad servers App &amp; web analytics Campaign performance reports</li><li>Build and maintain dashboards and reporting frameworks</li><li>Handle advertiser and partner data requests with speed and accuracy</li><li>Track and analyze key metrics including: Viewability Completion rates Revenue by format, market, and partner</li><li>Provide insights that support: Campaign optimization Revenue growth Strategic decision making</li><li>Translate complex data into clear, business-friendly insights</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 6 years of experience in data analytics, digital advertising analytics, or business intelligence</p><p>Strong proficiency in tools such as:</p><ul><li>Excel / Google Sheets</li><li>SQL (preferred)</li><li>BI tools (e.g., Tableau, Power BI, Looker)</li></ul><p>Experience working with advertising data (GAM, programmatic, or similar)</p><p>Strong analytical mindset with attention to detail</p><p>Ability to communicate insights clearly to non-technical stakeholders</p><p></p></section>

<p>As a Data Analyst II at HungerStation, you will support the product development lifecycle by analyzing data, understanding user needs, and providing actionable insights that help optimize product performance. You will work closely with Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams to turn data into meaningful insights and support data-driven decision-making.</p><p>In this role, you will:</p><ul><li>Analyze product and business data to understand growth drivers and identify opportunities for improvement.</li><li>Develop analyses, reports, and interactive dashboards to support business teams and stakeholders.</li><li>Use quantitative analysis to uncover insights and help Product Managers, Designers, and Engineers understand what to build and why.</li><li>Work with structured and semi-structured data from multiple sources, including BigQuery, Redshift, and PostgreSQL.</li><li>Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets.</li><li>Design and analyze A/B tests by defining hypotheses, setting up experiments, and evaluating results using statistical methods.</li><li>Own data projects from data collection through to operationalization.</li><li>Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms.</li><li>Contribute to continuous improvement of data and analytical processes.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>2 4 years of relevant experience in Data Analytics or a related field.</li><li>Bachelor s degree in Business Administration, Computer Science, Information Systems, or a relevant field.</li><li>Strong SQL skills, with experience using BigQuery.</li><li>Python or R experience is required.</li><li>Basic knowledge of statistics and experience applying statistical methods to data.</li><li>Experience working with large datasets and data from multiple sources.</li><li>Strong analytical and problem-solving skills.</li><li>Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar.</li><li>Ability to translate data into clear, actionable insights for business and product stakeholders.</li><li>Strong communication and collaboration skills, with the ability to work across Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams.</li></ul>

<p>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. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. 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.</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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</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><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><ul><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></ul>

<h3 >About Takamol Holding</h3> <p >Takamol Holding is seeking an <strong >Information Analytics Senior Officer</strong> to join its team in Riyadh, Saudi Arabia. This full-time role is central to enhancing the organization's data analytics capabilities and supporting data-driven decision-making.</p> <h3 >Role Overview</h3> <p >The Information Analytics Senior Officer will be responsible for the design, development, and maintenance of dashboards and reports, analyzing business data for actionable insights. This position involves collaborating with stakeholders to gather requirements, enabling self-service analytics, and ensuring the quality and accuracy of all business intelligence outputs.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and maintain dashboards and reports using platforms such as Power BI, Looker, Metabase, Cube, and Evidence, applying data visualization best practices.</li> <li >Analyze business data to identify trends, opportunities, risks, and performance drivers, translating analytical findings into actionable recommendations for stakeholders.</li> <li >Collaborate with business stakeholders to understand reporting and analytical needs, gathering, documenting, and validating business requirements.</li> <li >Develop and maintain certified datasets, reusable reporting assets, and dashboard templates to support self-service analytics, ensuring consistency through approved semantic models and KPI frameworks.</li> <li >Develop, optimize, and maintain SQL queries to support reporting and analytical requirements, performing data exploration, validation, and troubleshooting activities.</li> <li >Perform validation testing and reconciliation to ensure report accuracy, consistency, and reliability, investigating and resolving data discrepancies in collaboration with relevant teams.</li> <li >Maintain technical documentation, business definitions, and KPI catalogs, defining development frameworks, reporting standards, and governance guidelines.</li> <li >Provide user enablement and support, including training and demonstrations for dashboards, reports, and self-service analytics capabilities, to promote data literacy across the organization.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Bachelor’s degree in Business Administration, Computer Science, Economics, Finance, Information Systems, Statistics, or a related field. A Master’s degree or equivalent experience is preferred.</li> <li >A minimum of 5 years of experience in Business Intelligence, Data Analysis, or Reporting.</li> <li >Advanced experience with Power BI, Looker, SQL, and data visualization best practices.</li> <li >Proven experience in developing dashboards, reports, and analytical solutions for business stakeholders.</li> <li >Experience working with semantic models, certified datasets, and self-service analytics environments.</li> <li >Demonstrated ability to gather business requirements and translate them into effective reporting and analytics solutions.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia. The role operates within a collaborative environment, working closely with various business units and data engineering teams to deliver robust analytical solutions.</p> <h3 >Application Information</h3> <p >Takamol Holding is committed to fostering a data-driven culture and seeks a dedicated professional to contribute to its analytical capabilities. Qualified candidates are encouraged to apply.</p>

About the Role<br>We are transforming how data drives decision-making and strategic growth across our business. As our Senior Data Analyst / Visualizer, you will play a pivotal role in shaping our analytics ecosystem. You will own the analytics layer, semantic models, and reporting architecture—bridging technical execution with business strategy. Beyond building high-impact Power BI dashboards and embedded analytics, you will be a driver of data literacy across the organization, empowering executive leaders and cross-functional teams to make data-driven decisions. <br>Key Responsibilities Semantic Modeling & Governance: Own the conformed semantic model with certified business data definitions. Establish shared metrics, standardized naming conventions, dataset certifications, and row-level security (RLS) across the reporting estate. Advanced Data Visualization & Analytics: Design and deliver high-quality Power BI dashboards and analytics tools. Develop embedded reporting views directly inside web application front-ends (e.g., using React). Unified Business Insights: Contribute to our Unified Project View by integrating data across estimation, commercial, planning, design, and operations domains. Data Quality & Management: Establish data quality scorecards (evaluating completeness, accuracy, timeliness, consistency, and uniqueness). Work with business data stewards to route and resolve data issues. Enablement & Literacy: Design and deliver a tiered data literacy program for executives, managers, and power users. Conduct go-live training, hold regular clinics, and coach a federated network of data stewards across key departments. Stakeholder Collaboration: Run requirements workshops with department heads to translate complex business questions into actionable data products. Partner closely with Data Engineers and software developers. Adoption Tracking: Measure and track solution adoption as a key performance indicator (KPI) and continuously optimize based on user feedback. <br>What We Are Looking For<br>Education & Experience Education: Bachelor’s degree in Data Science, Computer Science, or a related quantitative field (Master’s degree is a plus). Experience: 10+ years of proven experience in data analysis, semantic modeling, and visualization. Domain Knowledge: Experience in construction, contracting, interior fit-out, or project-based industries (familiarity with Cost Value Reports, cost code structures, and tender-to-award cycles is highly desirable). <br>Technical Skills & Expertise Microsoft Ecosystem: Deep expertise in Microsoft Fabric (data storage/analysis) and Power BI. Power BI Mastery: Advanced experience in semantic modeling, row-level security (RLS), Direct Lake mode, and deployment pipelines. Languages & Tools: Proficiency in SQL, DAX, Power Query, and Excel. Embedded Analytics: Hands-on experience embedding analytics and charting/data grid components into web application front-ends alongside developers. Version Control & AI Integration: Regular use of Git for version control, and a demonstrated ability to leverage AI tools to accelerate DAX/SQL generation, dashboard development, and documentation. Systems (Desirable): Familiarity with Salesforce, Premier, or Oracle Primavera Cloud. Predictive analytics / Machine Learning understanding is a strong plus. <br>Soft Skills Strong facilitator capable of running workshops and translating non-technical user needs into specs. Passionate educator with a track record of driving data adoption and digital change management. <br>Preferred Certifications Microsoft Certified: Fabric Analytics Engineer Associate (Exam DP-600) Microsoft Certified: Power BI Data Analyst Associate (Exam PL-300) Microsoft Certified: Fabric Data Engineer Associate (Exam DP-700) (Advantageous)

<p><b>Role: Data Architect - Onsite</b></p><p><br></p><p><b><br></b></p><p><b>Responsibilities:</b></p><p><br></p><p>Designs Data Hub, analytics architecture, data models, governance framework, lineage, metadata and enterprise reporting architecture.</p><p><br></p><p><br></p><p>Preferred candidate profile:</p><p><br></p><p>1) Minimum experience required: 10+ years</p><p><br></p><p>2) Willing to work on the client side for a duration of 3 years.</p><p><strong>Desired Candidate Profile</strong></p><p>1) Minimum experience required: 10+ years 2) Willing to work on the client side for a duration of 3 years.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>.</p><br>Job Purpose <br> <p>Leads delivery and execution of enterprise data and analytics solutions, overseeing BI, analytics, and data infrastructure teams to deliver accurate, integrated insights and align data initiatives with business goals.</p><br> <br> <br> <br> <br> <br> <br> <br> <br><br>Key Accountability Areas <br><p>Strategic Leadership in Data &amp; Analytics:</p><br> <ul> <li>Define and drive the overall data and analytics strategy aligned with the organization’s vision, mission, and strategic objectives.</li> <li>Lead the development and execution of enterprise-wide data initiatives, ensuring integration across BI, analytics, and data infrastructure functions.</li> <li>Champion a data-driven culture by promoting the use of analytics in decision-making across business units.</li> </ul> <p>Oversight of BI, Analytics, and Data Infrastructure:</p><br> <ul> <li>Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.</li> <li>Guide the development of advanced analytics models and ensure their alignment with business needs.</li> <li>Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.</li> </ul> <p>Stakeholder Engagement and Collaboration:</p><br> <ul> <li>Act as the primary liaison between the data &amp; analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.</li> <li>Translate complex data concepts into business-friendly language to support executive decision-making.</li> </ul> <p>Innovation and Technology Enablement:</p><br> <ul> <li>Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.</li> <li>Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.</li> </ul> <p>Data Governance and Quality Assurance:</p><br> <ul> <li>Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.</li> <li>Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.</li> </ul><br><br>Role Accountability <br><p>HR Proficiency:</p><br> <ul> <li>Ability to recruit, recognize and cultivate high performers and expose them in order to create a robust second line of management.</li> <li>Ability to recognize low performers and guide them to improve or release them.</li> <li>Ability to treat subordinates equally without any discrimination.</li> <li>Assessment criteria of subordinates is performance that leads to planned results.</li> <li>Ensure availability of delegation of authority matrix to have sufficient delegations as per company policy.</li> </ul> <p>Responsibility:</p><br> <ul> <li>Must take full responsibility for his operation as per the job description and the required deliverables from this position, taking into consideration the general company guidelines.</li> <li>Able to anticipate problems and make the necessary proactive steps to prevent them</li> <li>Ability to take necessary and proper timely decisions.</li> </ul> <p>Delivery<b>:</b></p><br> <ul> <li>Deliver the required results in timely manner with required quality and cost.</li> </ul> <p>Making a Tangible Difference:</p><br> <ul> <li>Must make a tangible difference to his area of operation. and exceed business expectations.</li> <li>Able to transform the corporate goals into business plans.</li> <li>Able to Plan, follow-up and execute those plans, whether they are annual or development plans.</li> <li>Monitor the plan performance and initiate action to strengthen results and take the corrective action accordingly.</li> <li>Provide periodic work progress reports.</li> <li>Responsible for monitoring and controlling budgets and expenses to achieve the optimum cost efficiency.</li> <li>Develop the organizational structure according to the current requirements taking into consideration future and development plans.</li> <li>Ensure availability of job descriptions for all job roles and deploy them.</li> <li>Develop, coordinate well-defined written systems, policies, procedures, and seeking automations opportunities as much as possible.</li> <li>Should be conversant and able to navigate through IT solutions especially those relevant to his job and business.</li> <li>Promote the automated systems and using them fully, to spread its culture.</li> </ul> <p>Quality:</p><br> <ul> <li>Quality is considered as alfanar’s prime competitive advantage as such, managers are expected to act accordingly.</li> </ul> <br><br>Academic Qualification <br>Bachelor Degree in Computer Science or Any relevant field<br><br><br>Work Experience <br>6 to 10 Years<br><br><br>Technical / Functional Competencies <br>Business Analysis<br>Big Data Analytics<br>Data Mining<br><br><br><br> </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_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <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>

<p>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. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p><strong>What We Do</strong></p><p>The Mindrift platform connects specialists with innovative technology projects. 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.</p><p><strong>About the Role</strong></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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</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><p><strong>Educational qualifications</strong></p><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></ul><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><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></ul><p><strong>Additional requirements</strong></p><ul><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></ul><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><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></ul><p><strong>Additional requirements</strong></p><ul><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></ul>

<p>The Business Data Analyst II role has a national salary range of $55,000 - $90,000.</p><p>For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.</p><p>DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.</p><p><br></p><p>Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we’re looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact—this role is for you!</p><p><br></p><p><strong>Job Description</strong></p><p>As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You’ll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.</p><p>Responsibilities</p><ul><li>Develop and maintain Power BI reports to support operational and strategic decisions</li><li>Full development of Power BI including data visualization and back-end data model design</li><li>Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements</li><li>Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction</li><li>Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs</li><li>Translate complex data into clear, actionable insights through presentations and reports for internal and customer use</li><li>Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)</li></ul><p><br></p><p><strong>Required Experience</strong></p><ul><li>Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required</li><li>0–2 years of experience in data analytics, business intelligence, or a related field, required</li><li>Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred</li><li>Proficiency in Power BI, including building dashboards and reports, required</li><li>Experience writing DAX expressions to automate and enhance Power BI reports, preferred</li><li>Familiarity with statistical concepts and data modeling techniques, preferred</li><li>Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred</li><li>Must be able to work fully onsite if role based out of a warehouse, required</li></ul><p><br></p><p>Our Organization is an equal opportunity employer.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data Entry and Sales Key User is responsible for ensuring accurate and timely data entry into the company's ERP system while supporting sales operations. The role maintains data integrity, prepares reports, coordinates with internal departments, and acts as the primary ERP user within the Sales Department to ensure smooth system operations.</p><p>Key Responsibilities</p><ul><li>Enter and update sales, customer, and product data accurately in the ERP system and company databases.</li><li>Verify source documents for completeness and accuracy before processing.</li><li>Review, correct, and maintain data integrity.</li><li>Generate sales reports and provide data as requested by management.</li><li>Monitor data quality and perform regular validation checks.</li><li>Scan, file, and archive documents when required</li><li>Coordinate with Sales, Finance, Warehouse, and other departments to resolve data discrepancies.</li><li>Maintain electronic and physical filing systems.</li><li>Ensure confidentiality of company and customer information.</li><li>Support daily sales administrative activities.</li><li>Act as the Sales Department Key User for the ERP system by assisting users, identifying system issues, and coordinating with the IT team when required.</li><li>Ensure compliance with company policies and data protection procedures.</li><li>Perform other duties assigned by the direct supervisor.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High School Diploma required.</li><li>Diploma or Bachelor's degree in Business Administration, Information Systems, or a related field is preferred.</li><li>1-3 years of experience in Data Entry, Sales Support, or ERP systems is preferred.</li><li>Excellent data entry speed and accuracy.</li><li>Proficiency in Microsoft Office (especially Excel).</li><li>Experience working with ERP systems.</li><li>Strong analytical and problem-solving skills.</li><li>High attention to detail.</li><li>Good communication and interpersonal skills.</li><li>Ability to work independently and manage priorities.</li><li>Strong organizational and time management skills.</li><li>Ability to maintain confidentiality and data integrity.</li></ul><p></p></section>

<p>About the role You'll lead enterprise-wide data governance initiatives designing policies across DAMA data management domains, driving NDMO/NDI compliance in coordination with SDAIA, and embedding a strong data culture across the organization.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>8+ years of experience in data governance, data management, or compliance roles, ideally within Saudi government or public sector entities</li><li>Proven track record with NDMO and/or NDI compliance frameworks</li><li>Strong knowledge of DAMA-DMBOK data management domains</li><li>Experience developing data governance policies, procedures, and frameworks</li><li>Background in change management and stakeholder engagement across large organizations</li><li>Bachelor's degree in Computer Science, Information Systems, or related field (Master's is a plus)</li><li>Relevant certifications (e.g., CDMP, NDMO-related certifications) are a strong advantage</li><li>Fluency in Arabic and English</li><li>Immediate joiner ONLY!!!</li></ul>

<p>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. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p><strong>What We Do</strong></p><p>The Mindrift platform connects specialists with innovative technology projects. 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.</p><p><strong>About the Role</strong></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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</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><p><strong>Educational qualifications</strong></p><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></ul><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><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></ul><p><strong>Additional requirements</strong></p><ul><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></ul><p><strong>Project time expectations</strong></p><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><p><br></p><p><strong>Desired Candidate Profile</strong></p><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 data extraction workflows. 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. 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></ul>