Data Entry Jobs in Saudi

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Maaden and the Role</h3> <p style="margin:0 0 12px; ************;">Maaden, a leading mining company in Saudi Arabia, is seeking a <strong style="font-weight:700;">Principal Specialist Corporate Functions Data Domain</strong>. This full-time role is central to designing, developing, and optimizing scalable data engineering solutions across both Operational Technology (OT) and Information Technology (IT) environments.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">The Principal Specialist Corporate Functions Data Domain operates as a senior technical specialist, providing guidance across multidisciplinary engineering teams. The primary objective is to ensure that data products, enterprise data layers, pipelines, and integration flows are consistent, governed, high-performing, and aligned with enterprise architecture. This position is critical for establishing cohesive OT-IT data ingestion, transformation, and consumption patterns within Maaden's operations.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, build, and optimize ingestion, transformation, and orchestration pipelines across OT and IT data sources.</li> <li style="margin:0 0 6px;">Implement scalable ELT/ETL workflows supporting enterprise analytics, data products, AI/ML, and operational use cases.</li> <li style="margin:0 0 6px;">Engineer unified data flows across remote mining sites, disconnected OT environments, manufacturing systems, edge computing devices, and IT cloud platforms.</li> <li style="margin:0 0 6px;">Embed metadata capture, lineage tracking, and quality checks into data pipelines to support data governance and cataloging requirements.</li> <li style="margin:0 0 6px;">Translate architectural models into physical engineering implementations.</li> <li style="margin:0 0 6px;">Partner with business domains to understand data requirements and ensure delivered pipelines meet operational and analytical needs.</li> <li style="margin:0 0 6px;">Address OT-specific latency, connectivity, protocol variability, and historian/SCADA integration considerations in pipeline designs.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience</h3> <p style="margin:0 0 12px; ************;">Candidates for this role should possess <strong style="font-weight:700;">5 to 10 years of relevant experience</strong> in data engineering, with a strong focus on designing and implementing solutions in complex OT and IT environments.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Execution Excellence:</strong> Delivering high-quality pipelines and engineering solutions with strong reliability.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Collaboration &amp; Influence:</strong> Working effectively across OT, IT, and business domains.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Problem Solving:</strong> Tackling complex integration challenges across industrial and corporate environments.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Adaptability &amp; Innovation:</strong> Applying modern engineering techniques and identifying improvements in architecture/tooling.</li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Technical Leadership:</strong> Guiding engineering teams and junior specialists.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">Interested candidates are invited to apply for this full-time position at Maaden in Saudi Arabia.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design and implement auto-labeling policies in Microsoft Purview to automatically classify sensitive data based on content and context</p><p>Develop and fine-tune trainable classifiers to improve detection of business-specific sensitive information</p><p>Implement endpoint DLP policies to prevent data exfiltration from user devices, including USB and print restrictions</p><p>Configure policy tips and user notifications to enhance user awareness and reduce accidental data sharing</p><p>Conduct data discovery and classification scans across structured and unstructured data repositories</p><p>Optimize DLP rule conditions and thresholds to balance security enforcement with business usability</p><p>Define and enforce usage rights (view, edit, print, copy, forward restrictions) through Microsoft Purview DRM.</p><p>Perform root cause analysis for recurring DLP incidents and implemented preventive controls</p><p>Integrate Microsoft Purview with existing security tools and workflows for centralized data protection management</p><p>Support audit and compliance activities by providing detailed reports, evidence, and classification insights</p><p>Manage sensitivity label lifecycle, including creation, modification, publishing, and retirement</p><p>Configure label-based encryption and access controls to ensure persistent protection of sensitive files and emails</p><p>Automate report generation and alert monitoring using compliance center dashboards and logs</p><p>Conduct user training sessions and awareness programs to improve adoption of data protection policies</p><p>Implement role-based access controls (RBAC) for secure administration of compliance tools</p><p>Monitor and improve data classification coverage across cloud workloads</p><p>Evaluate and test new features and updates in Microsoft Purview before production rollout</p><p>Maintain documentation, SOPs, and knowledge base for data protection processes</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Microsoft Purview Engineer with 3-5 years of experience in implementing and managing enterprise data protection solutions using Microsoft Purview. Skilled in data classification, sensitivity labeling, Data Loss Prevention (DLP), and Digital Rights Management (DRM) across Microsoft 365 services. Proven ability to reduce data leakage risks, improve classification accuracy, and support compliance initiatives through effective policy design and incident management.</p><p>Candidate must be a Saudi National.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The <strong>BI &amp; Reporting Expert</strong> transforms complex raw enterprise data into actionable visual insights, interactive dashboards, and executive reporting solutions. This role sits between IT infrastructure and business leadership to drive data-informed decision-making across the organization.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li><strong>Dashboard &amp; Report Development:</strong> Design, build, and maintain enterprise-grade interactive dashboards and automated reports (Power BI, Tableau, or Qlik).</li><li><strong>Data Modeling &amp; Architecture:</strong> Build robust star/snowflake schemas, optimize DAX/SQL queries, and manage data models for high performance.</li><li><strong>ETL &amp; Data Integration:</strong> Collaborate with data engineers to design and maintain automated ETL/ELT pipelines from ERPs, CRMs, and SQL databases into data warehouses.</li><li><strong>Business Stakeholder Management:</strong> Translate complex business requirements into clear KPI frameworks, executive summaries, and functional dashboard specs.</li><li><strong>Data Governance &amp; Security:</strong> Enforce row-level security (RLS), data quality standards, and access control policies across all BI platforms.</li></ul> </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_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> Saudi Arabia </div> </div> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>The Project Management Senior Specialist will support the planning, monitoring, reporting, and digital management of complex projects by developing data-driven tools, dashboards, and reporting solutions. The ideal candidate will have a strong software engineering or technical background combined with project management experience, with proven expertise in programming, data analytics, and Power BI.</p><p>Key Responsibilities</p><ul><li>Develop, maintain, and enhance project management systems, digital tools, dashboards, and reporting solutions.</li><li>Design and automate project reporting processes using Power BI, Power Query, DAX , and other data analytics tools.</li><li>Develop interactive dashboards to track project performance, schedule, cost, risk, resources, procurement, and key performance indicators (KPIs).</li><li>Integrate data from multiple project systems, databases, spreadsheets, and enterprise platforms to create reliable and consolidated reporting.</li><li>Apply programming and scripting skills to automate repetitive project management and reporting activities.</li><li>Develop data models, data pipelines, and automated workflows to improve the accuracy and efficiency of project information.</li><li>Work closely with Project Controls, Planning, Cost, Commercial, PMO, and IT teams to understand reporting requirements and translate them into digital solutions.</li><li>Analyze project data and identify trends, deviations, risks, and areas requiring management attention.</li><li>Establish standardized reporting templates, dashboards, data structures, and visualization standards across projects.</li><li>Support the development and implementation of project management information systems (PMIS) and digital project controls solutions.</li><li>Ensure data quality, integrity, consistency, and appropriate governance across project reporting platforms.</li><li>Prepare executive-level dashboards and management reports providing clear insights into project performance and delivery.</li><li>Provide technical support and guidance to project teams on Power BI, data visualization, reporting tools, and digital project management solutions.</li><li>Continuously identify opportunities to improve project reporting through automation, analytics, and emerging technologies.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Software Engineering, Computer Science, Information Technology, Engineering , Project Management, or a related discipline.</p><p>10+ years of professional experience , preferably combining software development, data analytics, digital transformation, and project management.</p><p>Strong experience in programming/software development , preferably using Python, SQL, JavaScript, C#, or similar languages.</p><p>Advanced proficiency in Microsoft Power BI , including Power Query, DAX, data modelling, dashboard development, and visualization.</p><p>Strong knowledge of SQL, databases, data integration, and data transformation.</p><p>Experience developing automated reporting solutions and integrating data from multiple systems.</p><p>Experience working within PMO, project controls, construction, engineering, or large-scale project environments is highly desirable.</p><p>Familiarity with project management systems, PMIS, ERP platforms, Primavera P6, Microsoft Project, or similar project management applications is advantageous.</p><p>Strong analytical, problem-solving, communication, and stakeholder management skills.</p><p>The ideal candidate is a software engineer or technically oriented project management professional who can bridge the gap between project teams and technology. The candidate should be capable of understanding complex project data, developing robust programming and automation solutions, and translating information into intuitive Power BI dashboards and actionable management insights .</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose The Principal Specialist, Data Modeling &amp; Architecture leads the design, modeling, and evolution of the enterprise data architecture to ensure data products, curated layers, and integration patterns are standardized, scalable, high-quality, and governed. The role defines how diverse operational and corporate data should be modeled, aligned, and transformed to support analytics, enterprise reporting, and integration with downstream systems. This position is a senior technical authority responsible for defining modeling standards, shaping architecture decisions, and guiding multidisciplinary teams to achieve semantic consistency and reusability across domains, while enabling performance, interoperability, and trusted consumption.</p><p>Key Accountabilities</p><ul><li>Develop and maintain conceptual, logical, and physical data models aligned with business domains, using enterprise standards and modeling principles.</li><li>Define canonical models, conformed dimensions, and reference data structures to enable consistent cross-domain reporting and analytics.</li><li>Lead the creation and optimization of data product models and curated layer schemas (including time-variant structures and auditability) to support enterprise use cases.</li><li>Ensure models consider platform and technology requirements (relational, non-relational, time-series, streaming) and are optimized for performance and maintainability.</li><li>Establish integration patterns that ensure consistent transformation logic, metadata, lineage, and data quality across source-to-consumption pipelines.</li><li>Define and maintain enterprise modeling standards, guidelines, naming conventions, and reusable templates to uplift modeling maturity across delivery teams.</li><li>Review and approve modeling deliverables from internal teams and external vendors; provide design authority and quality assurance for key initiatives.</li><li>Partner with governance to ensure business glossary alignment and stewardship ownership for critical entities and attributes.</li><li>Mentor modelers, engineers, and analysts; lead model reviews and coaching to ensure consistent application of standards.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum Qualifications:</p><ul><li>Bachelor s degree in Computer Science/Engineering, Data Engineering, Information Systems, or related field.</li><li>Master s degree preferred (Data Architecture, Software Engineering, or Analytics).</li></ul><p>Minimum Experience:</p><ul><li>10 15 years of experience in data modeling, data architecture, or enterprise information architecture.</li><li>Strong experience with cloud-native data platforms and metadata/governance tooling; demonstrated ability to influence architecture across multiple domains.</li></ul><p>Ma aden High-Performance Competencies:</p><ul><li>Strategic Thinking &amp; Decision Making Anticipates implications and guides enterprise direction.</li><li>Collaboration &amp; Influencing Aligns diverse stakeholders without direct authority.</li><li>Execution Excellence Sets high standards and ensures measurable outcomes.</li><li>Innovation &amp; Adaptability Applies modern practices and evolves standards pragmatically.</li><li>Change Leadership Drives adoption, governance, and continuous improvement.</li></ul><p>Skills:</p><ul><li>Mastery of conceptual, logical, and physical data modeling; dimensional modeling and domain-driven design concepts.</li><li>Enterprise architecture and modeling principles; metadata management and lineage concepts.</li><li>Design of curated data layers, data products, and integration patterns from source to consumption.</li><li>Ability to balance governance, usability, and performance; strong design documentation and stakeholder communication.</li><li>Proficiency with modeling tools and standards; ability to review and assure vendor deliverables.</li></ul><p></p></section>

<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><p><strong>Securing delivery on your projects</strong><strong>Communicating your work and achievements among the team</strong><strong>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</strong><strong>Ensuring that your solutions are bringing values to the client problematic</strong><strong>Being a good team player, knowing your role and responsibility in the global ambition</strong></p><br><p><strong>What are we looking for?&amp;nbsp;</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>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.</p><br><p><strong>Action: </strong>We make things rather than telling people how to make them.<strong>Collaboration</strong>: We believe in bringing talented people together, winning together, and in learning from each other.</p><br><p>&amp;nbsp;</p><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>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><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>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><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Educational qualifications</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><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>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"> <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><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 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>What We Do</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>About the Role</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>Key Responsibilities</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>Project time expectations</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>Compensation</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><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><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><p>Technical Skills (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></ul><p>Additional requirements</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>

Teradata DBA Administrator & Hardware Support Location: Jeddah, Saudi Arabia Level: Mid-Senior | 5–10 years’ experience Engagement: 12 month FIXED term contract<br>The Role My client is looking for an experienced Teradata DBA Administrator & Hardware Support Engineer to take ownership of the administration, monitoring, performance, maintenance and L2/L3 support of their Teradata Vantage platform.<br>You will work across production and non-production environments, supporting Teradata Vantage 16/17.x, Intelli Flex, VMware and the wider Teradata ecosystem, while ensuring high availability, performance, security and operational stability.<br>Key Responsibilities Install, configure and administer Teradata Vantage 16/17.x across Intelli Flex and VMware environments. Manage and support Viewpoint, Query Grid, Data Mover, BCM and Data Stream Utility. Monitor system health, query performance and resource utilization using Teradata Viewpoint. Perform performance tuning, query optimization and TASM/workload management. Manage backup, recovery and disaster recovery processes using Data Stream Utility and BCM. Support data migration, replication and refresh activities using Data Mover. Configure and support Query Grid for cross-platform data access. Manage database users, roles, permissions and security controls. Perform patching, upgrades and platform maintenance, ensuring compatibility across the Teradata ecosystem. Provide L2/L3 production and non-production support, troubleshooting database, platform and infrastructure issues.<br>Required Experience5–10 years of hands-on Teradata DBA / platform administration experience. Strong experience with Teradata Vantage 16/17.x. Hands-on experience with:Teradata Viewpoint Query Grid Data Mover Business Continuity Manager (BCM) Data Stream Utility Intelli Flex VMware Strong SQL, performance tuning and workload management/TASM capabilities. Experience with Linux/Unix and shell scripting. Knowledge of REST APIs, CLIv2 and data integration technologies. Experience supporting enterprise-scale production environments and resolving complex infrastructure/database issues.<br>*** Only successful 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 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><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 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>What We Do 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>About the Role 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>Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p><p>Project time expectations 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>Compensation 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). 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>Technical Skills (Essential)</h2><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><h2>Additional requirements</h2><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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Generative AI products are only as good as the data behind them. This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics. The work runs on AWS, and the aim is a single governed source that every consumer can rely on. We want someone who has already built data pipelines for AI systems, not only for reporting. Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before. The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.</p><p><strong>WHAT YOU WILL DO</strong></p><ul><li>Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage.</li><li>Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes.</li><li>Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic.</li><li>Add quality checks, validation, and monitoring so problems surface before they reach a model or a user.</li><li>Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows.</li><li>Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services.</li><li>Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads</li><li>Review code, write the documentation, and help shape how the team builds its data layer.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Eight or more years in data engineering overall. That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background. Strong SQL and strong Python, including PySpark or similar distributed processing. Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse. Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated. Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors. Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium. Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer. Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus. Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi. Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps.</p><p></p></section>

About the Job<br>Domain: IT Service & Consulting Position: Informatica Architect Experience: 15+ Years Location: Jeddah, Saudi Arabia Your Team You are invited to work with a top-tier organization that's been in the game for 50+ years, partnering with some of the world's biggest businesses. As India's largest multinational business group, this enterprise boast a workforce of highly skilled consultants spread across 60+ countries, at the forefront of the financial markets and data industry, delivering exceptional services in Data & Analytics, Capital Markets, and Post Trade. <br>Your Job Core Informatica Skills Strong expertise in Informatica Data Engineering & Data Integration Hands-on experience with:Informatica Power Center / equivalent Informatica Power Exchange (CDC, real-time) Experience with Metadata Repository / Metadata Management<br>Real-Time & Integration Technologies Real-time and near real-time data integration patterns Event-driven and CDC-based ingestion architectures<br>Platform & Runtime Informatica Runtime, Server, and Platform architecture Application servers: Tomcat Distributed processing: Spark<br>Databases Strong experience integrating with Oracle databases Understanding of transactional systems in BFSI environments<br>Non-Functional Expertise Performance tuning and optimization Scalability and capacity planning High availability and fault tolerance design<br>Soft Skills Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills Experience working in large, regulated, multi-vendor environments Qualifications: MBA / B. Tech / Any Graduate Skills: Informatica Data Engineering, Informatica Data Integration, Informatica Power Center, Informatica Power Exchange, CDC (Change Data Capture),Metadata Management,Oracle Database,Apache Spark,Real-time Data Integration, Performance Tuning, Apache Tomcat, Apache Spark You can explore new jobs at https://www.linkedin.com/company/cognitud-advisory/jobs/?view AsMember=true You can also apply for more job openings on our website by visiting this link: https://www.cognitud.com/open-jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br><p> </p> <p> </p> <p> <u> <b>Job Description:</b> </u> </p> <p>Parsons is looking for an amazingly talented <b>Senior Specialist Hospitality Digital Systems &amp; Data</b> to join our team! In this role you will get to collaborate with cross-functional teams to gather requirements, maintain system integrity and support automation, translating technical outputs into clear, user-friendly insights to enable effective decision-making. You will also support the rollout and adoption of digital tools through training, documentation and troubleshooting, ensuring systems remain aligned with evolving business requirements.</p> <p> </p> <p> <b>What You'll Be Doing:</b> </p> <ul> <li>Define and support the development of digital platform structures and data models, ensuring systems (e.g. SharePoint, Aconex) are scalable, well-organised and aligned with business and reporting requirements</li> <li>Gather and document business requirements, translating operational needs into system configurations, enhancements and digital solutions</li> <li>Administer and maintain digital systems and data environments, ensuring data is accurate, accessible, governed and aligned with business standards</li> <li>Support reporting and analytics by structuring data, enabling data integration and contributing to dashboards and visualisations (e.g. Power BI)</li> <li>Develop and support automation of data processes and workflows using Microsoft tools and scripting (e.g. Power Automate, Python, SQL)</li> <li>Support the implementation and adoption of digital tools and platforms, ensuring alignment with business processes and effective user engagement</li> <li>Manage document control platforms (e.g. Aconex), ensuring compliance, consistency and effective information management</li> <li>Translate technical outputs into clear, user-friendly formats to support reporting, documentation and communication</li> <li>Collaborate across teams to enable seamless data flow and integration across systems, reporting and project activities</li> <li>Support end-users through training, guidance and troubleshooting, promoting effective use of systems and tools</li> <li>Contribute to continuous improvement of systems, tools and processes to enhance efficiency, automation and data-driven decision-making</li> </ul> <p> </p> <p> <b>What Required Skills You'll Bring:</b> </p> <ul> <li>Bachelor s degree in a relevant discipline (or equivalent experience)</li> <li> <p>Certifications in Microsoft 365, Power Platform or data analytics tools preferred</p> </li> <li>Professional membership or recognised certification preferred (e.g. PMP, PRINCE2, Agile or equivalent)</li> <li> <p>2 5+ years experience in digital systems, data platforms or reporting environments, ideally within project or delivery settings</p> </li> <li>Strong understanding and experience using digital platforms and data systems, including Microsoft 365 suite (e.g. SharePoint, Teams, OneDrive, Power Automate) to support integrated workflows</li> <li>Strong understanding of SharePoint Online, including site structure, permissions, content management and platform configuration</li> <li>Knowledge of Windows Server and IIS for managing SharePoint environments</li> <li>Ability to work with structured and unstructured data, supporting data processing, reporting and analysis</li> <li>Familiarity with automation tools and scripting (e.g. Power Automate, Python, SQL) to support workflow automation and system enhancements</li> <li>Experience supporting document control and project systems with focus on data quality and compliance</li> <li>Proactive and adaptable, able to operate effectively in fast-paced environments</li> <li>Strong written and verbal communication skills in English, translating technical concepts into clear, practical outputs</li> <li>Analytical and problem-solving mindset, identifying issues and driving solutions</li> <li>Collaborative, working effectively across teams and stakeholders</li> <li>Strong attention to detail, ensuring data accuracy and system integrity</li> <li>Well-organised, able to prioritise workload and manage competing demands</li> </ul> <p> <br> <b>What Desired Skills You'll Bring:</b> </p> <ul> <li>Experience supporting digital systems, reporting platforms or data environments in a project or operational setting</li> <li>Experience contributing to dashboards, reporting and data visualisation (e.g. Power BI)</li> <li>Familiarity with project and document management platforms (e.g. Aconex, Microsoft Project, Primavera or similar)</li> <li>Exposure to system enhancements, platform rollouts or digital tool implementations preferred</li> <li>Experience working within project, construction or development environments preferred</li> <li>Key relationships with stakeholders, including: Consultants and Suppliers, Delivery Partners / Project Management Consultants</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p><br></div></section>

???? We're Hiring | Senior BI Developer (Power BI & Sigma Computing)<br>Are you passionate about transforming data into actionable business insights? We are looking for an experienced Senior BI Developer to join our team and lead the development of modern Business Intelligence solutions using Power BI and Sigma Computing.<br>???? Location: Saudi Arabia???? Employment Type: Full-Time???????? Saudi Nationals are highly preferred???? Industry: Financial Services / Investment<br>???? What We're Looking For We are seeking a highly skilled BI professional with extensive experience in Power BI, SQL, and modern cloud-based analytics platforms. The ideal candidate will have a strong technical background, excellent business understanding, and a passion for delivering scalable BI solutions.<br>✅ Required Qualifications:Bachelor's degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related field.8+ years of overall experience in Business Intelligence, Data Engineering, or Data Analytics.3+ years of hands-on experience developing enterprise-grade Power BI solutions. Strong expertise in:Power BI Desktop & Power BI Service Advanced DAX & Power Query (M) SQL (CTEs, Window Functions & Query Optimization) Row-Level Security (RLS) & Object-Level Security (OLS) Power BI Workspaces, Apps & Gateways Hands-on experience with Sigma Computing. Experience connecting BI platforms to Snowflake or other Cloud Data Warehouses. Strong understanding of Sigma's live-query architecture and dashboard development.<br>⭐ Preferred Qualifications:Experience leading BI modernization or migration projects. Experience mentoring junior BI developers or acting as a technical lead. Knowledge of:dbt (Data Build Tool) Power BI Deployment Pipelines ALM Toolkit DAX Studio Tabular Editor Master's degree in Data Science, Business Analytics, or MBA with a technical focus is a plus. Experience within the Financial Services or Investment sector.<br>???? Key Responsibilities:Design, develop, and maintain enterprise Business Intelligence solutions using Power BI and Sigma Computing. Build interactive dashboards, reports, and data models that support business decision-making. Develop optimized SQL queries and semantic data models. Implement secure and scalable BI solutions using RLS and OLS. Integrate BI platforms with cloud data warehouses such as Snowflake. Collaborate with business stakeholders to translate requirements into analytical solutions. Optimize report performance and ensure data accuracy and reliability. Support BI platform governance, deployment, and continuous improvement initiatives. Mentor junior team members and contribute to BI best practices.<br>???? Why Join Us?✔ Work on enterprise-scale analytics and digital transformation initiatives.✔ Collaborate with highly skilled data and technology professionals.✔ Opportunity to work with cutting-edge cloud analytics platforms.✔ Dynamic, collaborative, and growth-oriented environment.

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Salla is seeking a <strong style="font-weight:700;">Staff Analytics Engineer - Product Data Instrumentation</strong> to take ownership of event instrumentation and behavioural data. This senior individual-contributor role involves defining Salla's event taxonomy, tracking plans, schemas, and identity model, alongside ensuring their trustworthiness through validation. The successful candidate will integrate directly into the engineering development lifecycle, collaborating with Product teams to ensure every behavioural metric is deliberately designed, documented, and monitored from its inception.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, develop, and maintain data models and transformation pipelines.</li> <li style="margin:0 0 6px;">Collaborate with cross-functional stakeholders to understand data requirements and build scalable solutions.</li> <li style="margin:0 0 6px;">Ensure data quality and consistency through rigorous testing, validation, and monitoring practices.</li> <li style="margin:0 0 6px;">Proactively identify and resolve data issues.</li> <li style="margin:0 0 6px;">Maintain and document the data warehouse structure, data dictionary, and lineage.</li> <li style="margin:0 0 6px;">Define and enforce data modeling best practices.</li> <li style="margin:0 0 6px;">Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights.</li> <li style="margin:0 0 6px;">Improve developer experience across the data stack by automating workflows and simplifying data discovery.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">6 years of experience</strong> in analytics engineering, data engineering, product analytics infrastructure, or software engineering.</li> <li style="margin:0 0 6px;">At least <strong style="font-weight:700;">3 years directly owning event instrumentation and tracking</strong>.</li> <li style="margin:0 0 6px;">Proven track record in designing an event taxonomy and tracking plan from scratch, coupled with driving adoption across engineering teams.</li> <li style="margin:0 0 6px;">Hands-on experience with event collection or CDP platforms (*, Segment, Jitsu) and product analytics platforms (*, Amplitude, Mixpanel, PostHog, GA4).</li> <li style="margin:0 0 6px;">Strong software engineering fundamentals and production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go, or Python, sufficient for reviewing tracking pull requests.</li> <li style="margin:0 0 6px;">Expert SQL skills and hands-on dbt experience, including modeling high-volume event data in columnar warehouses (*, ClickHouse, BigQuery, Snowflake).</li> <li style="margin:0 0 6px;">Working knowledge of streaming architecture (*, Kafka), including delivery semantics, idempotency, deduplication, and handling late-arriving data.</li> <li style="margin:0 0 6px;">Experience with server-side tagging, consent management, and privacy regulation.</li> <li style="margin:0 0 6px;">A clear and defensible perspective on identity resolution, sessionisation, and cross-platform stitching.</li> <li style="margin:0 0 6px;">Demonstrated ability to influence engineering teams without direct authority, alongside excellent written communication skills.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Proficiency in Arabic.</li> <li style="margin:0 0 6px;">Experience working in the GCC region.</li> <li style="margin:0 0 6px;">Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms.</li> <li style="margin:0 0 6px;">Depth in mobile instrumentation, including native SDKs, install attribution, deep links, and offline buffering.</li> <li style="margin:0 0 6px;">Familiarity with tracking-plan governance or event observability tooling (*, Avo, Segment Protocols, Trackingplan).</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Type and Compensation</h3> <p style="margin:0 0 12px; ************;">This is a full-time position. Salary details will be discussed during the interview process.</p>

<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>

<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>