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Role Description This is a full-time, on-site Supply Chain Data Coordinator role located in Doha, Qatar. The Supply Chain Data Coordinator will be responsible for organizing product and shipment data received from suppliers, maintaining structured records, and supporting coordination between suppliers, inventory, and e-commerce teams. The role involves tracking shipments, preparing product data, and ensuring operational accuracy as our e-commerce operations continue to scale.<br>Responsibilities• Monitor supplier shipment updates and incoming product information• Organize and maintain accurate product data using Excel or Google Sheets• Prepare and share product lists with inventory and e-commerce teams• Track shipment status and maintain up-to-date shipment records• Ensure all incoming products are properly documented and structured• Support management with operational reporting and updates<br>Qualifications• Bachelor’s degree in Business Administration, Supply Chain, or related field (preferred)• 1–3 years of experience in supply chain, logistics, or e-commerce (preferred)• Strong organizational and communication skills• Proficiency in Microsoft Excel or Google Sheets• Strong attention to detail and data accuracy• Must be living in Qatar• Must be ready to work immediately<br>How to Apply Send your CV to career@arkanmktg.com

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get To Know Our Team:<br><br>The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.<br><br>The Opportunity:<br><br>As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, Dev Ops and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.<br><br>You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.<br><br>What You’ll Do:<br><br>Data Engineering<br><br>Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability:Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).<br><br>Data Tools & Product Development<br><br>Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or Java Script/Type Script to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.<br><br>Data Analytics & Business Impact<br><br>Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.<br><br>Stakeholder & Team Collaboration <br><br>Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.<br>Required Qualifications:<br><br>8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., Big Query, Snowflake, Redshift, Hive, Spark, Vertica, Star Rocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or Java Script/Type Script). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.<br><br>Preferred Qualifications:<br><br>Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<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>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>

Position Overview:<br>We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.<br>Develop and deploy data-driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets.<br>Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scrappingtechnologies to extract, analyze, and model unstructured data.<br>Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalableand efficient data pipelines and environments.<br>Leverage analytics: Mathematics and Statistics, modelling and modern machine learningtechniques, Optimization.<br>Understand complex databases and perform data management, cleaning, transformation andvisualization.<br>Build intuitive user interfaces using tools such as Shiny or Dash, enabling non-technical users toeasily interact with predictive models and analytics dashboards.<br>Create and maintain predictive analytics models, dashboards, automation program and other datadriven tools for technical teams and business stakeholders.<br>Stay up to date with the latest developments in data science, cloud computing, and AI tocontinuously improve data products.<br>Knowledge of actuarial concepts is a plus.<br>Qualifications and Experience:<br>• Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or any related field.<br>• Minimum 3-5 years of relevant experience (experience level depending on the profile)

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping 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 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 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 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> Educational qualifications At least 3+ 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 web technologies and data processing tools, 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 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving 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 $37 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Summary We are seeking an experienced Senior Data Protection &amp; Privacy Specialist to support the organization s data protection and privacy governance initiatives. The successful candidate will be responsible for managing day-to-day privacy operations, conducting privacy risk assessments, reviewing personal data management processes, and supporting investigations and complaint handling related to personal data protection. The role requires a strong understanding of data protection regulations, cybersecurity principles, privacy governance, and emerging technologies to ensure the organization s compliance with applicable legal and regulatory requirements. Key Responsibilities Perform day-to-day operational activities related to data protection, including receiving and handling complaints, investigations, and privacy-related inquiries. Review and assess Personal Data Management Systems to ensure compliance with applicable privacy requirements and best practices. Conduct Personal Data Privacy Risk Assessments and provide recommendations to mitigate identified risks. Evaluate requests involving the processing of sensitive or special-category personal data and submit recommendations to management for approval. Execute and support procedures related to privacy complaints, investigations, and incident handling. Assist in ensuring compliance with organizational policies and applicable data protection regulations. Prepare reports, documentation, and recommendations related to privacy assessments and investigations. Collaborate with internal stakeholders to promote privacy awareness and support continuous improvement of data protection practices.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><p>Qualifications</p><ul><li>Education Bachelor's or Master's degree in Computer Science, Information Technology, Information Security, Cybersecurity, or a related discipline.</li><li>Professional Certifications Candidates holding one or more of the following certifications will be preferred: Certified Information Privacy Manager (CIPM) Certified Information Privacy Professional (CIPP) Equivalent Data Protection or Privacy certifications</li><li>Experience Minimum 8 years of relevant professional experience in data protection, privacy, information security, cybersecurity, compliance, or related fields.</li><li>Required Skills &amp; Knowledge Strong knowledge of data protection and privacy principles. Understanding of cybersecurity concepts, cyber threats, and vulnerabilities. Knowledge of data protection laws, regulations, governance frameworks, policies, and procedures. Familiarity with Artificial Intelligence (AI), blockchain, and other emerging technologies and their impact on privacy. Technical understanding of computer networking concepts, network protocols, and network security methodologies. Experience conducting privacy risk assessments and supporting privacy compliance activities. Strong analytical, problem-solving, documentation, and report-writing skills. Excellent communication and stakeholder management skills. Ability to manage multiple priorities while maintaining a high level of accuracy and professionalism.</li><li>Language Requirements English: Required (written and spoken). Arabic: Preferred but not mandatory.</li><li>Additional Required Skills and Knowledge: Strong understanding of cybersecurity and privacy principles. Familiarity with cyber threats and vulnerabilities. Knowledge of laws, policies, procedures, and governance related to data protection and privacy. Awareness of emerging technologies, including artificial intelligence and blockchain. Technical expertise in computer networking concepts, protocols, and network security methodologies. Excellent communication skills.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data &amp; Testing Analyst <p><strong>Position:</strong> Data &amp; Testing Analyst<br><strong>Location:</strong> Qatar<br><strong>Contract Duration:</strong> 6 Months<br><strong>Candidate Requirement:</strong> Only candidates currently available in Qatar</p><br> Job Requirements <ul><li>4–7 years of experience in <strong>data migration, reporting, or ERP testing activities</strong>.</li><li>Hands-on experience in <strong>data cleansing, validation, reconciliation, and migration support</strong>.</li><li>Experience in <strong>SIT/UAT execution and defect management</strong>.</li><li>Strong <strong>MS Excel and analytical skills</strong>.</li><li>Previous <strong>ERP implementation experience</strong> is preferred.</li></ul> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data &amp; Testing Analyst <p><strong>Position:</strong> Data &amp; Testing Analyst<br><strong>Location:</strong> Qatar<br><strong>Contract Duration:</strong> 6 Months<br><strong>Candidate Requirement:</strong> Only candidates currently available in Qatar</p><br> Job Requirements <ul><li>4–7 years of experience in <strong>data migration, reporting, or ERP testing activities</strong>.</li><li>Hands-on experience in <strong>data cleansing, validation, reconciliation, and migration support</strong>.</li><li>Experience in <strong>SIT/UAT execution and defect management</strong>.</li><li>Strong <strong>MS Excel and analytical skills</strong>.</li><li>Previous <strong>ERP implementation experience</strong> is preferred.</li></ul> <br> <br> </div>

<p>The Senior Technician – Data Extractions is a specialized field role responsible for the end-to- end retrieval, validation, and submission of meter data from electricity and water meters (Bulk and Domestic). This position combines the technical expertise of an electrician with the precision of a data specialist to ensure seamless communication with KAHRAMAA meters using specialized hardware and software. </p><br><p>Key Responsibilities:</p><ol><li><p>Receive work orders and verify meter locations, ensuring accessibility and safe field conditions.</p></li><li><p>Maintain a dedicated vehicle to ensure timely mobilization across assigned zones</p></li><li><p>Identify and report irregularities, including abnormal readings, unauthorized consumption, or signs of tampering</p></li><li><p>Capture photographic evidence and maintain activity logs (screenshots, data files) as supporting evidence. </p></li><li><p>Adhere strictly to KAHRAMAA’s standards, procedures, and safety protocols for electrical and water systems.</p></li><li><p>Establish communication with electricity and water meters using optical probes, communication cables, and interface adapters. </p></li><li><p>Utilize manufacturer-approved software and laptops to extract billing registers, interval data, event logs, tamper records, and configuration parameters. </p></li><li><p>Maintain full technical capability to interface with all KAHRAMAA meter types, ensuring software and drivers are updated and compatible. </p></li><li><p>Validate extracted datasets for completeness and accuracy, ensuring zero data loss or corruption. </p></li><li><p>Format data precisely according to KAHRAMAA requirements.</p></li><li><p>Perform successful uploads/submissions to the KAHRAMAA system and close assigned cases only once data is accepted. </p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Bachelor's degree in electrical engineering / Electronics.</p></li><li><p>Minimum 5 years of relevant experience in electrical field services, meter reading, or industrial data acquisition. </p></li><li><p>Valid KAHRAMAA certification (preferred).</p></li><li><p>Proficient in using field laptops, meter communication software, and handheld reporting tools. </p></li><li><p>Strong understanding of electrical and water metering and systems; familiar with KAHRAMAA standards. </p></li></ol>

<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 $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled 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 $37 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Provide technical and strategic advisory services to government entities to help them build their data asset registers and implement classification policies. Design guidelines and toolkits to enable government employees to classify data independently and efficiently. Measure the level of compliance of government entities with national data classification policies and submit periodic performance reports to decision-makers. Lead national initiatives to assess cybersecurity risks resulting from improper classification of sensitive data at the state level. Ensure alignment of different entities policies with national data protection and privacy legislation, and identify data sovereignty requirements. Evaluate global technical solutions in data classification and provide recommendations to government entities on the best tools suited to the national infrastructure. Organize national workshops and conferences to transfer knowledge and discuss challenges faced by institutions in implementing data classification projects. The contract duration is 12 months, with the possibility of extension based on departmental requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><p>Required Academic Degree Bachelor s degree in (Information Security, Computer Science, or Management Information Systems). Strongly preferred: Master s or PhD in (Data Governance or Public Cybersecurity Policy). Required Training Certificates (If required) CDMP (Certified Data Management Professional) Advanced level CGEIT (Certified in the Governance of Enterprise IT) Audit and compliance certifications such as CISA (Certified Information Systems Auditor) ISO/IEC 27001 Lead Auditor / Implementer Required Years of Experience Minimum 10 years of experience in data governance and security. Must include at least 4 years working on regulatory frameworks, national policies, or consulting for major government institutions. Required Language Proficiency Arabic: Optional English: Required Other: Arabic preferred but not mandatory Other Required Qualifications Regulatory background: Deep understanding of local data and privacy laws and national cybersecurity standards. Consulting skills: Strong ability to influence and negotiate with senior leadership across government entities. Strategic vision: Ability to link data classification to national priorities such as digital transformation, data economy, and digital sovereignty. Institutional excellence: Familiarity with government excellence standards and quality models (e.g., EFQM) to ensure world-class advisory services.</p><p></p></section>

<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 $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled 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> About the Role This is a freelance role for a Tendem project.<br> As a 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> Compensation On this project, contributors can earn up to $37 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> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year 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> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled 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> About the Role This is a freelance role for a Tendem project.<br> As a 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> Compensation On this project, contributors can earn up to $37 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> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year 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> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

JOB TO BE BASED IN KINGDOM OF SAUDI ARABIA<br>Overview We are seeking a Data Scientist Specialist to our Downstream Transformation & Business Excellence Department (DST&BED). DST&BED empowers the Downstream Admin Areas with advanced analytics, digital tools, and data-driven insights to improve reliability, optimize operations, accelerate decision-making, and enable strategic digital transformation. The organization is responsible for designing advanced analytical models, developing scalable digital solutions, and supporting enterprise-level digital programs.<br>Your primary role is to design, develop, and operationalize advanced machine learning models that support downstream optimization, predictive maintenance, and performance enhancement. You will work with complex datasets, apply advanced statistical and AI techniques, and ensure models deliver measurable value across operational areas.<br>Key Responsibilities As the successful candidate you will be required to perform the following:Develop machine learning, statistical, and predictive models for downstream operational use cases. Assess data quality, perform data cleansing, and prepare datasets for model development. Explore advanced analytical techniques such as deep learning, time-series modelling, anomaly detection, and optimization algorithms. Validate, test, and refine models to ensure accuracy, reliability, and stability. Prepare technical documentation and present analytical results to stakeholders. Support integration of models into digital platforms and operational systems. Evaluate emerging data science methods and recommend approaches that improve model performance. Collaborate with engineers, analysts, and solution architects to translate operational challenges<br>Minimum Requirements You will hold a Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program. You will have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions. Candidates must have clearly demonstrated Downstream and/or Oil & Gas industry experience You will have strong knowledge of machine learning, statistical modelling, and data engineering techniques. You must have proven experience developing and deploying models into production environments. You will be able to demonstrate proficiency in Python or similar programming languages. Experience with cloud platforms, databases, and visualization tools is preferred. You will have the ability to translate complex data concepts into business insights.<br>REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

<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 $37 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Urgent Database Administrator Skills Core skills: Based on job listings we looked at, employers want Database Administrator with these core skills. If you want to work in this field, focus on the following.</p><p>Should have working experience MySQL Databases</p><p>Should be able to do performance tuning to database (MySQL) through configuring DB as per requirement and Indexing columns</p><p>Working experience in AWS DBMS is added advantage</p><p>Maintain user for different database and experience in Master Slave Architecture is advantage</p><p>Knowledge about creating database function and procedures for performance improvement is an advantage</p><p>Should be able to establish the needs of users and monitoring user access and security</p><p>Should monitor performance and managing parameters to provide fast responses to front-end users</p><p>Should be able to map out the conceptual design for a planned database</p><p>Should be able to refine the logical design so that it can be translated into a specific data model</p><p>Further refining the physical design to meet system storage requirements</p><p>Installing and testing new versions of the DBMS</p><p>Writing database documentation, including data standards, procedures and definitions for the data dictionary (metadata)</p><p>Controlling access permissions and privileges</p><p>Developing, managing and testing back-up and recovery plans</p><p>Maintains quality service by establishing and enforcing organization standards</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled 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> About the Role This is a freelance role for a Tendem project.<br> As a 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> Compensation On this project, contributors can earn up to $37 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> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year 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> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>