Database Developer Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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. 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. 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p><p>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><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 internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><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>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you ll play a key role in advancing AI capabilities and real-world applications.</p><p>Work fully remote on your own schedule with just a laptop and stable internet connection. 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. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 3 year 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>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>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></p></section>

<p>We are seeking an experienced and results-driven Project Director to lead the planning, execution, and delivery of hyperscale data center projects in Riyadh, Saudi Arabia. In this strategic leadership role, you will oversee all aspects of large-scale infrastructure development, from initial concept through operational handover. You will work with cross-functional teams, external stakeholders, and vendors to ensure projects are delivered on time, within budget, and to the highest quality standards. This position requires a decisive leader with strong analytical capabilities and a proven track record in managing complex, mission-critical infrastructure initiatives.</p><p>Direct end-to-end project delivery for hyperscale data center construction and deployment, ensuring alignment with organizational objectives and timelines</p><p>Develop comprehensive project plans, schedules, and budgets; monitor progress against key performance indicators and implement corrective actions as needed</p><p>Lead and mentor cross-functional project teams, including engineers, contractors, and technical specialists; foster collaboration and accountability across all stakeholders</p><p>Manage vendor relationships, procurement processes, and contractor performance to ensure quality deliverables and cost efficiency</p><p>Identify, assess, and mitigate project risks; develop contingency plans and implement proactive solutions to minimize impact</p><p>Coordinate with regulatory and compliance teams to ensure adherence to local Saudi Arabian regulations and international data center standards</p><p>Conduct regular stakeholder communications, including executive briefings, progress reports, and issue escalations</p><p>Oversee quality assurance and testing protocols to ensure infrastructure meets technical specifications and operational requirements</p><p>Manage project documentation, change control processes, and lessons learned to support continuous improvement</p><p>Analyze project performance data and provide strategic recommendations for future initiatives</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications</h2><p>20+ years of project management experience, with a minimum of 7 years leading large-scale data center projects</p><p>Proven expertise in hyperscale data center design, construction, and deployment</p><p>Strong knowledge of data center operations, architecture, and technical infrastructure</p><p>Strong leadership capabilities with experience building and motivating high-performing teams</p><p>Exceptional organizational and time management skills with the ability to manage multiple priorities</p><p>Experience with risk management, compliance, and regulatory requirements in the data center or infrastructure sector</p><p>Preferred: Project Management Professional (PMP) or equivalent certification</p><p>Preferred: Prior experience working on projects in the Middle East region</p><p>Preferred: Knowledge of cloud infrastructure and emerging data center technologies</p>

<p>Mindrift is looking for highly skilled Vibecode 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 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> </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> </p> <p> <strong>About the Role</strong> </p> <p>This is a freelance role for a Tendem project. As a <strong>Senior Python Data Scraping Engineer</strong>, 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> </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> </p> <p> <em> <strong>Educational qualifications</strong> </em> </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> </p> <p> <em> <strong>Academic and/or Professional Experience</strong> </em> </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> </p> <p> <em> <strong>Technical Skills (Essential)</strong> </em> </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> </p> <p> <em> <strong>Additional requirements</strong> </em> </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> </p> <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> </p> <p> <strong>Compensation </strong> </p> <p>On this project, contributors can earn up to <strong>$37 per hour equivalent</strong>, 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> </p>

<h3 >About the Role</h3> <p >FNRCO is seeking a Data &amp; AI Platform Section Head to lead the engineering, delivery, and operational management of enterprise data and AI platforms. This full-time role is based in Makkah, specifically covering Jeddah and Makkah, and is crucial for enabling analytics, AI, and enterprise reporting. The successful candidate will ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities.</p> <h3 >Role Purpose and Context</h3> <p >The primary purpose of this role is to oversee the entire lifecycle of data and AI platforms, from strategy and engineering to operations and continuous improvement. This position involves providing consistent reporting and updates to the Enterprise Platform, Apps &amp; Analytics Manager, ensuring all platform activities support critical business functions and digital transformation initiatives.</p> <h3 >Key Responsibilities</h3> <ul > <li >Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans.</li> <li >Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability.</li> <li >Oversee platform provisioning, monitoring, and optimization to enable business-critical analytics and AI workloads.</li> <li >Ensure platforms meet enterprise standards for security, resilience, and performance.</li> <li >Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data.</li> <li >Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption.</li> <li >Ensure seamless integration of data across applications, platforms, and enterprise systems.</li> <li >Oversee API/middleware support for data ingestion, transformation, and distribution across systems.</li> <li >Provide regular updates to the Enterprise Platform, Apps &amp; Analytics Manager on roadmap execution, risks, and modernization priorities.</li> <li >Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness.</li> <li >Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures.</li> <li >Actively participate in on-the-job training, mentoring, and coaching of subordinates.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of 5 to 10 years of relevant experience in data and AI platform engineering and management.</li> <li >Demonstrated ability to translate enterprise strategies into actionable technical roadmaps.</li> <li >Experience in leading engineering, deployment, and operational support for complex data and AI platforms.</li> <li >Proficiency in ensuring platforms meet enterprise standards for security, resilience, and performance.</li> </ul> <h3 >Skills and Competencies</h3> <ul > <li >Strong leadership skills with the ability to provide clear direction and prioritize tasks.</li> <li >Ability to foster a high-performance working environment.</li> <li >Excellent communication skills for reporting and stakeholder engagement.</li> <li >Commitment to continuous improvement and embedding automation.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Makkah, with responsibilities extending to Jeddah. The role involves working within a dynamic environment focused on advancing enterprise data and AI capabilities, requiring collaboration with various business and technical teams.</p>

<h3 >About the Role</h3> <p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jeddah, Makkah Province. This is a full-time position focused on leveraging data to inform and enhance product development. The successful candidate will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance insights into actionable decisions.</p> <h3 >Role Context and Impact</h3> <p >This role involves end-to-end ownership of analytics for a specific product area. Responsibilities range from defining success metrics and measurement plans to analyzing experiments, monitoring product launches, and providing recommendations for next steps. Given the complexity and scale of Salla's products, the role requires an experienced analyst who can quickly learn new domains, synthesize information from incomplete inputs, and make rigorous decisions efficiently, even with ambiguous data.</p> <h3 >Key Responsibilities</h3> <ul > <li >Partner with product teams to translate questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li >Own analytics across key product journeys, including funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li >Conduct deep-dive analyses to diagnose performance changes, uncover root causes, and recommend product opportunities.</li> <li >Design and analyze A/B tests and impact evaluations, covering metric selection, guardrails, validation checks, and decision recommendations.</li> <li >Develop and validate tracking plans for new features.</li> <li >Measure product launches and build dashboards and self-serve tools for monitoring product health.</li> <li >Communicate findings, business impact, and trade-offs clearly, while contributing to team best practices and supporting junior analysts.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a related role within a technology or digital-product environment.</li> <li >Advanced SQL skills and practical experience working with large, complex datasets.</li> <li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li >Hands-on experience with product experiments and a solid understanding of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li> <li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li> </ul> <h3 >Essential Skills and Attributes</h3> <ul > <li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau.</li> <li >Working knowledge of Python or R for data analysis.</li> <li >Strong product judgment and the ability to manage analytical work independently in ambiguous situations.</li> <li >Excellent communication and stakeholder-management skills, with the ability to influence product decisions through data-driven insights.</li> </ul> <h3 >Joining Salla</h3> <p >This role offers an opportunity to contribute to a dynamic product environment where analytical rigor and quick decision-making are valued. Candidates should be prepared to operate in a fast-paced setting, applying their expertise to complex challenges without always having a predefined playbook.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>Master Data Officer | Saudi Arabia, Riyadh </span></strong></p><br><br> <br> <p><strong><span>The Company:</span></strong></p><br><br> <br> <p><span>Founded in 1977, Almarai Company is the world’s largest vertically integrated dairy company and the largest food and beverage manufacturing and distribution company in MENA. Headquartered in Riyadh, Almarai Company is ranked as the number one FMCG Brand in the MENA region and the market leader in all its categories across GCC, Egypt, and Jordan.</span></p><br><br> <p><span>Over five decades of sustainable growth, Almarai has consistently provided nutritious and healthy products to consumers of all ages, driven by its core principle: “Quality you can trust.”</span></p><br><br> <p><span>Almarai has expanded its product range to include, in addition to dairy products, juices and beverages, baked goods, poultry, infant formula, dates, fish and seafood, and bottled water, under more than 20 brands such as Almarai, L’usine, 7DAYS, ALYOUM, Nuralac, Farm’s Select, Ice Leaf, Almira, Seama, Oska, IVAL, Almara Pro, Premier Chef, Bakemart, and others. </span></p><br><br> <p><span>Almarai currently employs over 43,000 Quality Makers, across the GCC, Egypt &amp; Jordan. </span></p><br><br> <p><span>In 2025, Almarai reported net income of SAR 2.4 billion on sales of SAR 22 billion.</span></p><br><br> <br> <p><strong><span>About the role:</span></strong></p><br><br> <p><span>Maintain accurate and consistent SAP master data in line with service level agreements (SLAs) and business requirements. Identify opportunities for process improvement, implement master data updates, and provide end-user training to ensure effective SAP utilization.</span></p><br><br> <br> <p><span><strong>Key responsibilities:&nbsp;</strong></span></p><br><br> <ul> <li><strong><span>Create, maintain, and update SAP master data</span></strong><span> in accordance with requests received from authorized data providers. </span></li> <li><strong><span>Review and enhance master data procedures and standards</span></strong><span> to ensure data accuracy, consistency, and quality across all business processes. </span></li> <li><strong><span>identify opportunities for continuous improvement</span></strong><span> within master data management and implement changes that maximize business value and system effectiveness. </span></li> <li><strong><span>Collaborate with end users and data providers</span></strong><span> to ensure the accurate collection, maintenance, and optimization of master data for assigned business objects. </span></li> <li><strong><span>Work closely with cross-functional teams and business initiatives</span></strong><span> to support operational excellence and overall business performance. </span></li> <li><strong><span>Ensure compliance with SAP change management procedures</span></strong><span> and maintain strict control over master data updates to prevent unauthorized changes.</span></li> </ul> <br> <br> <p><strong><span>Requirements:</span></strong></p><br><br> <ul> <li><span>Diploma qualification in a related field. </span></li> <li><span>Minimum 1 year of experience using SAP and Microsoft Excel. </span></li> <li><span>Fluent in written and spoken English.</span></li> </ul> <br> <br> <p><span>Almarai offers a competitive package, generous leave, medical coverage, discretionary bonus, training, and development etc.</span></p><br><br> <br> <p><span>This is a great opportunity to join a successful and expanding global business, offering an excellent remuneration and benefits package.</span></p><br><br> <br> <br> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 >About Salla and the Senior Product Data Analyst Role</h3> <p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.</p> <h3 >Role Purpose and Strategic Context</h3> <p >The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.</p> <h3 >Key Responsibilities</h3> <ul > <li >Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li >Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li >Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.</li> <li >Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.</li> <li >Develop and validate tracking plans for new features.</li> <li >Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.</li> <li >Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.</li> </ul> <h3 >Required Experience and Qualifications</h3> <ul > <li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a similar role within a technology or digital-product environment.</li> <li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li >Practical experience with product experiments and a solid grasp of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li> <li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li> </ul> <h3 >Technical Skills and Core Competencies</h3> <ul > <li >Advanced SQL proficiency and experience working with large, intricate datasets.</li> <li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.</li> <li >Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.</li> <li >Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.</li> </ul> <h3 >Application Process</h3> <p >Candidates who meet the specified qualifications are encouraged to apply.</p>

Saudi's Only<br>Data & AI Platform Section Head<br>Role Purpose Lead the engineering, delivery, and operational management of enterprise data and AI platforms to enable analytics, AI, and enterprise reporting ,Ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities, while providing consistent reporting and updates to the Enterprise Platform, Apps & Analytics Manager.<br>Responsibilities:Data & AI Platform Strategy & Roadmap Execution Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans. Ensure platforms support analytics, AI, and enterprise data needs in line with business and digital priorities. Platform Engineering & Operations Oversight Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability. Oversee platform provisioning, monitoring, and optimization to enable business critical analytics and AI workloads. Ensure platforms meet enterprise standards for security, resilience, and performance. AI/Analytics Enablement & Adoption Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data. Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption. Partner with analytics teams to optimize platform usage and measure adoption effectiveness. Integration & Data Flow Management Ensure seamless integration of data across applications, platforms, and enterprise systems. Oversee API/middleware support for data ingestion, transformation, and distribution across systems. Maintain high data availability, integrity, and flow across the data & AI landscape. Reporting & Continuous Improvement Provide regular updates to the Enterprise Platform, Apps & Analytics Manager on roadmap execution, risks, and modernization priorities. Apply enterprise standards and best practices for platform engineering, monitoring, and maintenance. Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness. Capture lessons learned, embed automation, and continuously improve data and AI platform maturity. Policies, Processes and Procedures Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement People Management Actively participate in on-the-job training, mentoring and coaching of subordinates Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow Promote a high-performance working environment embracing Company’s values<br>QUALIFICATIONS / REQUIREMENTSMinimum 6 years of experience in a related field or equivalent is required. A bachelor’s degree in Engineering, Computer Science, Information Technology (IT), or equivalent is required. Preferred Certifications: DAMA International – Certified Data Management Professional (CDMP), TOGAF for enterprise architecture alignment and Agile certifications such as Scrum Master, PMI-ACP, or SAFe , Cloud & Platform Certifications such as Google Cloud – Professional Cloud Architect, Amazon Web Services – Solutions Architect Professional, Databricks – Data Engineer Professional.<br>Also, You can forward your CV through below link for more upcoming Job vacancies: https://cv-fnrco.

<p>We are looking for an experienced Data &amp; Technology Director to lead the organization s data strategy, enterprise systems, IT infrastructure, cybersecurity, and digital technology roadmap across a growing multi-location business. This role is responsible for ensuring that technology and data become strong business enablers, supporting operational efficiency, guest experience, scalability, reporting accuracy, and long-term growth. The ideal candidate will have strong leadership experience across POS, ERP, integrations, data platforms, analytics, cybersecurity, infrastructure, and technology operations. The Data &amp; Technology Director will oversee key technology functions, manage critical systems and vendors, improve system reliability, strengthen cybersecurity governance, and enable data-driven decision-making across the organization. Key Responsibilities</p><ul><li>Lead the overall data, technology, IT infrastructure, cybersecurity, and enterprise systems strategy.</li><li>Own the technology roadmap, including POS systems, ERP, digital ordering, integrations, automation, data platforms, and business applications.</li><li>Manage and improve critical systems across all locations to ensure reliability, availability, performance, and scalability.</li><li>Lead the organization s data strategy by centralizing data sources, improving reporting capabilities, and enabling better business decision-making.</li><li>Develop and improve dashboards, analytics tools, reporting models, and data visibility for key stakeholders.</li><li>Oversee technology operations, including infrastructure, networks, systems, support, cybersecurity, data governance, and analytics.</li><li>Lead the integration architecture between core systems such as POS, ERP, CRM, ordering platforms, finance systems, and reporting tools.</li><li>Manage technology vendors, contracts, service providers, implementation partners, SLAs, and support agreements.</li><li>Ensure cybersecurity controls, policies, risk management, incident response, and access management processes are properly implemented.</li><li>Maintain compliance with relevant data protection, cybersecurity, and local regulatory requirements.</li><li>Support digital transformation initiatives that improve guest experience, operational efficiency, automation, and business growth.</li><li>Build and maintain technology policies, governance frameworks, documentation, and standard operating procedures.</li><li>Monitor system uptime, project delivery, cybersecurity incidents, vendor performance, and technology KPIs.</li><li>Lead, develop, and manage technology and data teams with clear accountability and performance expectations.</li><li>Prepare technology performance reports, roadmap updates, risks, and recommendations for senior leadership.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Information Technology, Engineering, Data, Business Technology, or a related field.</p><p>Minimum 10 years of experience in technology, IT, data, digital transformation, systems, or enterprise applications.</p><p>Minimum 5 years of experience in a technology leadership role managing multiple technology functions or teams.</p><p>Experience in F&amp;B, retail, hospitality, restaurants, or multi-location businesses is strongly preferred.</p><p>Strong experience with POS systems, ERP systems, digital ordering platforms, integrations, and business applications.</p><p>Strong understanding of IT infrastructure, networks, cloud platforms, cybersecurity, system administration, and business continuity.</p><p>Experience leading data strategy, data governance, analytics, reporting, and dashboard development.</p><p>Strong knowledge of cybersecurity governance, risk management, incident response, access control, and compliance.</p><p>Knowledge of local data protection and cybersecurity regulations is preferred.</p><p>Proven experience managing technology vendors, contracts, SLAs, implementation partners, and support providers.</p><p>Strong leadership skills with the ability to manage technical teams and business stakeholders.</p><p>Strong project management, roadmap planning, prioritization, and execution skills.</p><p>Ability to translate business needs into practical technology and data solutions.</p><p>Strong analytical thinking, problem-solving, and decision-making skills.</p><p>Excellent communication, reporting, and presentation skills.</p><p>Strong command of Arabic and English.</p>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. 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. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside 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><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 AI-assisted workflows.</li><li>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.</li><li>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>

Riyadh Holding Company is a leading Saudi company with over four decades of experience in designing, developing, and operating integrated, sustainable urban ecosystems. The company delivers innovative real estate solutions for public-benefit projects across the Riyadh region, creating long-term value for communities and stakeholders.<br>Driven by a commitment to enhancing quality of life and enabling thriving cities, Riyadh Holding focuses on service-oriented developments, the activation of public spaces and parks, and the advancement of logistics and mobility solutions, contributing to sustainable urban growth and the objectives of Saudi Vision 2030.<br>We are currently seeking an experienced Data Analysis Director to joining King Abdullah Gardens Lead and runs enterprise data-analytics capability from the ground up — architecting the data lake, ETL, BI and model-deployment stack as the single trusted source of truth for the organization. Builds the C-Suite and Board dashboards covering programme KPIs, financial performance, risk indicators (KRIs) and counterparty performance; embeds AI, machine-learning and automation across the programme; and owns data governance and data-security governance to NDMO / NCA requirements. Gives the CEO, Board and GRC oversight a single, reliable evidence base across all four strategic pillars — Destination Experience, Botanical Excellence, Financial Viability, and Efficient Delivery & Operations.<br>1. Key Responsibilities<br>Establish and scale the enterprise analytics function, including platform architecture, technology stack, operating model, governance framework, talent strategy, and vendor ecosystem, aligned with Board priorities and organizational objectives. Architect and govern the enterprise data lake, ETL ecosystem, BI platforms, and model-deployment environment as a unified and trusted data foundation, integrating information from all delivery and operating counterparties. Deliver executive-grade analytics and reporting that provide the CEO, C-Suite, and Board with timely, accurate, and actionable visibility into programme performance, financial health, strategic objectives, risk exposure, and counterparty outcomes. Define and institutionalize enterprise KPI and KRI frameworks, ensuring consistent reporting standards and decision-making transparency across the organization. Design, implement, and continuously enhance the enterprise risk analytics capability, including risk registers, key risk indicators, predictive risk models, and scenario analysis, in partnership with risk leadership. Enable near real-time monitoring of contractual KPIs and SLAs across all counterparties to strengthen compliance, accountability, performance management, and early risk detection. Build advanced analytics capabilities across ticketing, visitation, CAFM (Maximo), and operational platforms to optimize revenue performance, customer experience, asset reliability, service delivery, and predictive maintenance outcomes. Accelerate organizational efficiency and innovation through the deployment of AI, machine learning, and intelligent automation solutions that reduce manual effort and improve business performance. Champion enterprise-wide data governance, ensuring clear ownership, quality standards, classification frameworks, lifecycle management, and regulatory compliance in alignment with NDMO, NCA, and PDPL requirements.<br>2. Qualifications & Experience:<br>Education: Bachelor’s in information systems, Computer Science, Engineering, Applied Mathematics or a related field; Master's preferred. Experience: +8 years in enterprise analytics, business intelligence, data engineering or advanced analytics, ideally in regulated or large capital-programme organizations. Technical: Deep command of Python and Power BI hands-on data-lake (Azure / AWS), ETL and SQL / data-warehousing experience; working knowledge of AI/ML frameworks. Languages: Fluent English; Arabic an advantage.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>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. </strong> </p> <p>In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. </p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. </p> <p> <strong>What We Do </strong> </p> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p> <p> <strong>About the Role</strong> </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 various tools such as our provided Apify and OpenRouter alongside your own resourceful 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 internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. </li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. </li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. </li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <p> <strong>Compensation</strong> </p> <p>On this project, contributors can earn up to <strong>$37 per hour equivalent</strong>, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <p> <strong>How to get started </strong> </p> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you ll play a key role in advancing AI capabilities and real-world applications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li> <strong>At least 3 year of relevant experience</strong> in data engineering, web scraping, automation, or software development (required). </li> <li> <strong>Bachelor's or Master s Degree</strong> in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</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>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> <strong>Why this freelance opportunity might be a great fit for you? </strong> </p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection. </li> <li>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. </li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul><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 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>

<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 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>

<h3 >About the Role</h3> <p >ABIS is seeking an <strong >Associate Data Scientist</strong> to join our team, supporting Saudi Aramco SMP in Dhahran. This full-time position requires 5-10 years of experience and focuses on advanced AI and Machine Learning solutions within an enterprise environment.</p> <h3 >Role Overview</h3> <p >The Associate Data Scientist will be instrumental in developing and deploying cutting-edge AI/ML models. The role involves working with large language models (LLMs), Generative AI technologies, and cloud platforms to deliver robust data science solutions. This position requires a professional who can integrate modern MLOps practices within complex enterprise settings.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop and deploy AI/ML models within enterprise environments.</li> <li >Work with Large Language Models (LLMs) and Generative AI technologies.</li> <li >Utilize cloud platforms and containerization for data science solutions.</li> <li >Implement modern MLOps practices to ensure efficient model lifecycle management.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science or an equivalent field.</li> <li >5-10 years of professional experience in a related data science or AI role.</li> <li >Hands-on experience in Machine Learning, LLMs, Generative AI, and MLOps/LLMOps.</li> <li >Experience with CI/CD tools such as Git, Jenkins, and ArgoCD.</li> </ul> <h3 >Technical and Professional Skills</h3> <ul > <li >Strong knowledge of Python and SQL.</li> <li >Experience with Kubernetes, Docker, and cloud platforms like GCP or OpenShift.</li> <li >Familiarity with Hugging Face, NVIDIA GPUs, NIMs, and distributed AI environments is highly preferred.</li> <li >Excellent communication, collaboration, and project management skills.</li> </ul> <h3 >Work Environment and Location</h3> <p >This full-time Associate Data Scientist position is based in Dhahran, Saudi Arabia, supporting Saudi Aramco SMP. We are seeking a dedicated professional to contribute to our advanced data science initiatives within a dynamic enterprise setting.</p>

Role Purpose Lead the engineering, delivery, and operational management of SANS enterprise data and AI platforms to enable analytics, AI, and enterprise reporting ,Ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities, while providing consistent reporting and updates to the Enterprise Platform, Apps & Analytics Manager.<br>KEY ACCOUNTABILITIES & ACTIVITIES<br>Data & AI Platform Strategy & Roadmap Execution Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans. Ensure platforms support analytics, AI, and enterprise data needs in line with business and digital priorities. Platform Engineering & Operations Oversight Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability. Oversee platform provisioning, monitoring, and optimization to enable business critical analytics and AI workloads. Ensure platforms meet enterprise standards for security, resilience, and performance. AI/Analytics Enablement & Adoption Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data. Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption. Partner with analytics teams to optimize platform usage and measure adoption effectiveness. Integration & Data Flow Management Ensure seamless integration of data across applications, platforms, and enterprise systems. Oversee API/middleware support for data ingestion, transformation, and distribution across systems. Maintain high data availability, integrity, and flow across the data & AI landscape. Reporting & Continuous Improvement Provide regular updates to the Enterprise Platform, Apps & Analytics Manager on roadmap execution, risks, and modernization priorities. Apply enterprise standards and best practices for platform engineering, monitoring, and maintenance. Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness. Capture lessons learned, embed automation, and continuously improve data and AI platform maturity. Policies, Processes and Procedures Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement People Management Actively participate in on-the-job training, mentoring and coaching of subordinates Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow Promote a high-performance working environment embracing SANS’s values<br><br>QUALIFICATIONS / REQUIREMENTSKnowledge and Experience Minimum 6 years of experience in a related field or equivalent is required. Education and Certifications A bachelor’s degree in Engineering, Computer Science, Information Technology (IT), or equivalent is required. Preferred Certifications: DAMA International – Certified Data Management Professional (CDMP), TOGAF for enterprise architecture alignment and Agile certifications such as Scrum Master, PMI-ACP, or SAFe , Cloud & Platform Certifications such as Google Cloud – Professional Cloud Architect, Amazon Web Services – Solutions Architect Professional, Databricks – Data Engineer Professional.

<h3 >About Agoda</h3> <p >Agoda is a global travel platform, part of Booking Holdings [NASDAQ: BKNG], connecting people to destinations and experiences worldwide. Established in 2005, the company operates with a diverse team of over 7,000 individuals across 90 countries. Data and technology are central to Agoda's culture, driving innovation in its operations.</p> <h3 >The Supply Analytics Team</h3> <p >The Supply Analytics team provides data-driven insights and decision support to optimize Agoda’s supply ecosystem. This involves analyzing partner and marketplace dynamics, developing forecasts and models, conducting experiments, and creating scalable dashboards and data products. The team's work directly contributes to improving inventory quality, partner economics, and Agoda's long-term growth.</p> <h3 >The Opportunity for a Senior Analyst</h3> <p >Agoda is seeking a <strong >Senior Analyst</strong> for its Supply Analytics team. This full-time, individual contributor role is based in Bangkok, with relocation assistance provided. The Senior Analyst will report to either a Senior Manager or Associate Director within the Supply Department and will be empowered to work directly with partners on the ground, supported by the Supply team and collaborating with other teams across Agoda.</p> <h3 >Key Responsibilities</h3> <ul > <li >Translate internal briefs into analytical projects, including refining initial requirements, developing hypotheses, and storyboarding outputs.</li> <li >Utilize and analyze data from large-scale data warehouses to present statistically robust analyses to various business stakeholders.</li> <li >Proactively identify growth opportunities within the supply domain and the broader business.</li> <li >Drive new analytical initiatives and projects focused on enhancing organizational efficiency and shaping Agoda's supply strategy.</li> <li >Identify, support, and lead projects aimed at scaling the Supply organization's leverage of data, insights, and intelligence.</li> <li >Automate manual operational processes and report on time savings achieved through business modernization efforts.</li> </ul> <h3 >Required Qualifications and Skills</h3> <ul > <li >A solid understanding of statistical modeling or machine learning techniques (*, hypothesis testing, regression, logistic regression, random forest).</li> <li >Demonstrated experience in stakeholder management, with comfort presenting to senior leadership and C-suite executives.</li> <li >Experience in conducting A/B testing experimentation.</li> <li >Strong experience in extracting data insights and providing actionable business recommendations.</li> <li >A "hacker’s mindset," characterized by the ability to develop simple, clever, and elegant solutions to new problems under resource, operational, and time constraints. This requires a deep understanding of the business, creative problem-solving, and expertise in data, analytics, automation, programming, and prototyping.</li> <li >Excellent communication skills, both written and verbal, including strong presentation and interpersonal abilities.</li> <li >A data-driven approach to both decision-making and performance measurement.</li> <li >Comfort and adaptability in ambiguous, fast-paced environments.</li> <li >Ability to manage multiple tasks, prioritize effectively, and coordinate resources.</li> </ul> <h3 >Preferred Qualifications</h3> <ul > <li >Program management certifications (*, PMI, PRINCE2) complementing program management experience.</li> <li >Experience within the Asian market.</li> <li >Background in the travel industry, e-commerce, technology, or consulting.</li> </ul>

Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia ???? Work Mode: Onsite (Client Office) ???? Contract Duration: 12 Months (Renewable) ???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment. Key Responsibilities Develop predictive models to identify customer targeting opportunities, increase card spend, improve customer retention, and reduce churn. Design customer segmentation strategies for credit and debit card portfolios to support lifecycle marketing, personalization, and campaign optimization. Analyze marketing campaign performance across customer segments, products, channels, and behavioral patterns, providing actionable business insights. Design and execute test-and-learn frameworks, including A/B testing, control groups, campaign measurement methodologies, and post-campaign evaluations. Build scalable analytical models and dashboards to support data-driven business decisions. Collaborate with business, marketing, product, and technology teams to translate analytical findings into practical business solutions. Present analytical insights and recommendations to senior stakeholders through clear reports, presentations, and visualizations. Ensure analytical models are explainable, validated, and aligned with business objectives. Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong domain expertise in the banking industry, with hands-on experience in credit card and debit card analytics. Proven experience in:Marketing Analytics Predictive Modeling Customer Segmentation Campaign Analytics Portfolio Analytics Customer Behavior Analytics Advanced proficiency in Python, SAS, and SQL. Experience working with large-scale banking datasets, including:Customer Profiles Card Transaction Data Campaign Performance Data Customer Behavioral Data Strong understanding of:Statistical Modeling Machine Learning Algorithms Model Validation Performance Monitoring Excellent communication and stakeholder management skills with the ability to present analytical findings to senior business leaders. Experience collaborating with cross-functional teams including Marketing, Product, Risk, and Data Management. Strong consulting mindset with excellent problem-solving skills, ownership, and commitment to timely delivery. Comfortable working in a client-facing consulting role on-site in Saudi Arabia. Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Prior experience in the Saudi Arabian or GCC banking sector. Hands-on experience with card lifecycle analytics, including:Customer Acquisition Card Activation Spend Growth Customer Engagement Retention Attrition Analysis Experience with CRM platforms, campaign management systems, and marketing automation tools. Knowledge of advanced marketing analytics techniques such as:A/B Testing Uplift Modeling Next Best Action (NBA) Offer Optimization Customer Lifetime Value (CLV) Modeling Exposure to cloud-based data platforms and modern analytics ecosystems<br>Interested candidates can share cv at simmi@hiresquad.in

Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia ???? Work Mode: Onsite (Client Office) ???? Contract Duration: 12 Months (Renewable) ???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment. Key Responsibilities Develop predictive models to identify customer targeting opportunities, increase card spend, improve customer retention, and reduce churn. Design customer segmentation strategies for credit and debit card portfolios to support lifecycle marketing, personalization, and campaign optimization. Analyze marketing campaign performance across customer segments, products, channels, and behavioral patterns, providing actionable business insights. Design and execute test-and-learn frameworks, including A/B testing, control groups, campaign measurement methodologies, and post-campaign evaluations. Build scalable analytical models and dashboards to support data-driven business decisions. Collaborate with business, marketing, product, and technology teams to translate analytical findings into practical business solutions. Present analytical insights and recommendations to senior stakeholders through clear reports, presentations, and visualizations. Ensure analytical models are explainable, validated, and aligned with business objectives. Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong domain expertise in the banking industry, with hands-on experience in credit card and debit card analytics. Proven experience in:Marketing Analytics Predictive Modeling Customer Segmentation Campaign Analytics Portfolio Analytics Customer Behavior Analytics Advanced proficiency in Python, SAS, and SQL. Experience working with large-scale banking datasets, including:Customer Profiles Card Transaction Data Campaign Performance Data Customer Behavioral Data Strong understanding of:Statistical Modeling Machine Learning Algorithms Model Validation Performance Monitoring Excellent communication and stakeholder management skills with the ability to present analytical findings to senior business leaders. Experience collaborating with cross-functional teams including Marketing, Product, Risk, and Data Management. Strong consulting mindset with excellent problem-solving skills, ownership, and commitment to timely delivery. Comfortable working in a client-facing consulting role on-site in Saudi Arabia. Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Prior experience in the Saudi Arabian or GCC banking sector. Hands-on experience with card lifecycle analytics, including:Customer Acquisition Card Activation Spend Growth Customer Engagement Retention Attrition Analysis Experience with CRM platforms, campaign management systems, and marketing automation tools. Knowledge of advanced marketing analytics techniques such as:A/B Testing Uplift Modeling Next Best Action (NBA) Offer Optimization Customer Lifetime Value (CLV) Modeling Exposure to cloud-based data platforms and modern analytics ecosystems<br>Interested candidates can share cv at simmi@hiresquad.in

<p>Basic Clerical work</p><p><strong>Responsibilities</strong></p><ul><li><p>Simple data entry</p></li><li><p>Copying and entering information</p></li><li><p>Organizing basic files and documents</p></li><li><p>Checking information for errors</p></li><li><p>Sending simple emails when required</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>No existing contract with QIWA</p><p>Must be registered with MHSD registry for disability </p><p>Must be Saudi National </p><p>Basic Computer Skills</p><br>