Data Entry Jobs in Saudi
6676 Jobs Found
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Location: Riyadh, Saudi Arabia Industry: Banking / Financial Services Department: Information Technology Job Summary: We are seeking experienced Database Developers to join our banking technology team in Riyadh.<br> The successful candidates will be responsible for designing, developing, optimizing, and maintaining enterprise database solutions across multiple database platforms, including Microsoft SQL Server, Oracle, PostgreSQL, and MongoDB.<br> The role requires strong expertise in database development, performance tuning, data integration, and supporting mission-critical banking applications.<br> Key Responsibilities: Design, develop, and maintain database objects including tables, views, stored procedures, functions, triggers, and packages.<br> Develop and optimize SQL queries to ensure high performance and scalability.<br> Create and maintain ETL processes and data migration solutions.<br> Perform database performance tuning, query optimization, and troubleshooting.<br> Support application development teams with database design and implementation.<br> Ensure data integrity, security, availability, and compliance with banking standards.<br> Develop and maintain database documentation, technical specifications, and data dictionaries.<br> Implement backup, recovery, and disaster recovery procedures.<br> Monitor database health, capacity planning, and performance metrics.<br> Participate in database upgrades, patching, and environment migrations.<br> Collaborate with infrastructure, application, and business teams to deliver database solutions.<br> Troubleshoot production issues and provide timely resolutions.<br> Ensure compliance with security policies, regulatory requirements, and banking best practices.<br> Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field.<br> 5+ years of experience in database development and administration.<br> Strong hands-on experience with: Microsoft SQL Server Oracle Database PostgreSQL MongoDB Strong knowledge of SQL, PL/SQL, T-SQL, and database programming concepts.<br> Experience in database performance tuning and optimization.<br> Knowledge of database security, backup, recovery, and high availability solutions.<br> Experience with data integration and ETL tools is preferred.<br> Experience within the banking or financial services sector is highly preferred.<br> Strong analytical, problem-solving, and troubleshooting skills.<br> Excellent communication and teamwork abilities.<br> Preferred Certifications: Microsoft SQL Server Certifications.<br> Oracle Database Certifications.<br> PostgreSQL Certifications.<br> MongoDB Certifications</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">
<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 & 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: </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>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are looking for a curious, detail-oriented, and ambitious Database Administrator Trainee to join our Data Platform team through the Tamheer Program.<br> This role is ideal for someone who enjoys solving complex problems, analyzing system behavior, working with data, and understanding how critical technology platforms operate behind the scenes.<br> As a DBA Trainee, you will gain hands-on exposure to production-scale database environments and learn how databases are designed, monitored, optimized, secured, backed up, and recovered.<br> Database administration requires precision and responsibility.<br> A small configuration or query mistake can sometimes have a significant impact.<br> Therefore, we are looking for someone who approaches tasks carefully, validates their work, asks the right questions, and remains calm when investigating technical problems.<br> This will be a challenging learning journey filled with technical exploration, troubleshooting, benchmarking, automation, and real-world engineering experience.<br> Key Responsibilities You will work closely with experienced Database Administrators, Data Engineers, and Platform Engineers to: Write, review, and optimize SQL queries.<br> Analyze database performance and identify slow or inefficient queries.<br> Support database monitoring, health checks, and capacity analysis.<br> Assist with database backup, recovery, replication, and high-availability activities.<br> Investigate database incidents and help identify root causes.<br> Perform benchmarking and compare database configurations, queries, and technologies.<br> Develop Python scripts to automate repetitive database and operational tasks.<br> Validate data accuracy, consistency, and integrity.<br> Prepare technical reports, performance findings, and recommendations.<br> Support documentation of database standards, operational procedures, and best practices.<br> Learn how database changes are safely tested before being applied to critical environments.<br> Participate in continuous improvement initiatives across the Data Platform.<br> The ideal candidate should have: Good foundational knowledge of SQL.<br> The ability to write queries using joins, aggregations, filtering, and subqueries.<br> Basic Python programming skills.<br> Strong critical-thinking and problem-solving abilities.<br> An analytical mindset and close attention to detail.<br> The ability to compare results, benchmark solutions, and validate assumptions.<br> A willingness to investigate problems instead of accepting results at face value.<br> Good communication and documentation skills.<br> A strong desire to learn database technologies and production engineering practices.<br> Preferred Knowledge The following experience is beneficial but not mandatory: Familiarity with MySQL, PostgreSQL, MongoDB, Redis, or similar database technologies.<br> Basic knowledge of Linux and command-line tools.<br> Understanding of database indexes, transactions, schemas, and data types.<br> Exposure to Git, APIs, cloud platforms, or container technologies.<br> Experience working on academic, personal, or graduation projects involving data or automation.<br> What You Will Learn During the program, you will have the opportunity to learn: How enterprise databases operate at scale.<br> Database performance tuning and query optimization.<br> Backup, recovery, replication, and disaster-recovery concepts.<br> Database security and access-management practices.<br> Monitoring, alerting, and incident investigation.<br> Python-based database automation.<br> Safe change-management practices for production environments.<br> How to think and operate like a Database Reliability Engineer.<br> Who Will Succeed in This Role?<br> You will enjoy this role if you: Are curious about how systems work internally.<br> Enjoy investigating difficult technical problems.<br> Pay attention to small details that others may overlook.<br> Are comfortable asking questions and learning from feedback.<br> Take ownership of your work and verify your results.<br> See challenges as opportunities to learn and improve.<br> Want to build a career in databases, cloud data platforms, or reliability engineering.<br> Our Commitment to You You will not be expected to know everything from day one.<br> You will receive guidance, practical experience, and opportunities to work with experienced engineers.<br> At the same time, we will challenge you to think critically, research independently, test your ideas, and gradually take ownership of meaningful technical tasks.<br> This is more than a training opportunity.<br> It is an adventure into the world of databases, where reliability, accuracy, automation, and engineering discipline come together to support systems used at scale.<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 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><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.</p><p>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.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><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 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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Requirements:</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><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></p></section>
<p>We're looking for a Senior Data Scientist to own the metrics and analytics layer of a growing e-commerce platform. You will be the driving force behind how merchants understand and grow their businesses through data ensuring every report, metric, and model delivered through the platform is accurate, unified, and built to scale. You will work closely with the Platform Reports Product Manager, Platform Data Quality Engineers and partner with PMs across all product areas to unify our data models and establish a single, coherent analytical foundation. Your north star: the success of merchant reports and analytics giving every merchant on the platform a reliable, well-documented view of their growth.</p><p>What You'll Do</p><ul><li>Own the analytics direction of the Data Platform define the vision, standards, and roadmap for metrics, models, and reporting delivered through the platform layer.</li><li>Unify data models across product areas work with the Platform Reports PM and all PMs to consolidate fragmented metric definitions into a single, governed semantic layer.</li><li>Drive merchant analytics success design, validate, and continuously improve the reports and analytics every merchant relies on to study and grow their business.</li><li>Establish documentation standards ensure every API, dataset, metric, and column is correctly named, clearly defined, and formally documented, so definitions are consistent from the warehouse to the merchant-facing report.</li><li>Enable growth analysis build the analytical foundations (cohorts, funnels, growth metrics, benchmarks) that let merchants and internal teams study growth accurately.</li><li>Guard data quality and consistency define validation rules, reconciliation checks, and metric governance so numbers match everywhere they appear.</li><li>Partner cross-functionally act as the analytical authority for the platform layer, advising engineering, product, and other analytics teams on how to build against it correctly.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>5+ years of experience in data science or analytics engineering, with at least 2 years in a senior or ownership-level role. Proven experience building or governing metrics layers / semantic models (e.g., dbt, LookML, or equivalent) used by multiple teams. Strong SQL and Python; deep comfort working directly with warehouse-level data (BigQuery, Clickhouse, Redshift, or similar). Experience designing customer- or merchant-facing analytics products dashboards, embedded reports, or analytics APIs. A strong instinct for naming, documentation, and standards you believe a well-named column and a well-written definition are product features. Experience partnering with product managers to translate business questions into governed, reusable data models. Excellent communication skills; able to align multiple teams around a single source of truth.</p><p>Nice to Have</p><ul><li>Experience in e-commerce or SaaS platforms, especially with merchant/seller analytics.</li><li>Familiarity with metric stores or semantic layers at scale (Cube, dbt Semantic Layer, Metriql, etc.).</li><li>Experience defining API contracts and data documentation practices (data catalogs, OpenAPI specs, column-level lineage).</li><li>Statistical modeling or forecasting experience applied to growth analytics.</li><li>Arabic language proficiency is a plus.</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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>
<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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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">
<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 & 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: </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>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div><h2 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>Balich Wonder Studio is a global creative and events company delivering extraordinary live experiences. As our KSA operation grows, so does the volume of data we generate, across bids, projects, systems, and teams. The Data Analyst sits at the intersection of operations, business development, and marketing. You'll structure information, build trackers, extract insights from procurement platforms, and ensure the right people have the right data at the right time. Beyond pure analysis, you'll support internal operations and assist the marketing team, making this a genuinely varied role with real growth potential.</p><p><strong>Desired Candidate Profile</strong></p><p>2 3 years in data analysis, operations support, or a coordination role, ideally in events, marketing, or a related field.</p><p>Portals: Hands-on experience with Oracle, SAP Ariba, Etimad, or similar platforms for data extraction and reporting.</p><p>Analytical Thinking: Ability to read a dense document, an RFP, a brief, a report, and extract what actually matters.</p><p>Tools: Advanced Excel, Airtable, and/or Power BI. Genuinely excited about AI tools and automation.</p><p>Language: Fluent in English and Arabic, both written and spoken.</p><p>Mindset: Organized, energetic, tech-savvy, and naturally wired to think in systems, structures, and patterns.</p><p>Education: Degree in Data Science, IT, Marketing, Business, or a related field.</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $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></span><p><b>Requisition ID:<b>28479</b></b> </p><br>
<p><b>City<b>GROUP IT</b></b> </p><br>
<p><span><span><b><span><span><span> Group Overview: </span></span></span></b></span></span></p><br>
<p><span><span><span><span><span> Headquartered in Riyadh, Saudi Arabia, we operate construction and manufacturing businesses, design & development centers and a host of facilities in the Middle East and other countries. </span></span></span></span></span></p><br>
<p><span><span><span><span><span>alfanar</span><span> <b>is involved in:</b></span></span></span></span></span></p><br>
<p><span><span><span><span><span> • Electrical, Electromechanical and Civil Engineering Construction</span></span></span></span></span></p><br>
<p><span><span><span><span><span> • Manufacturing and Marketing Electrical Construction Products</span></span></span></span></span></p><br>
<p><span><span><span><span><span> • Allied Engineering Services</span></span></span></span></span></p><br> <p><b><span><span><span><span><span> Our Main Divisions:</span></span></span></span></span></b></p><br>
<p><span><span><span><span><span> • alfanar electric</span></span></span></span></span></p><br>
<p><span><span><span><span><span> • alfanar Construction</span></span></span></span></span></p><br>
<p><span><span><span><span><span> • alfanar Building Systems</span></span></span></span></span></p><br>
Job Purpose <br><p>To ensure the data lake platform is stable, secure, scalable, and cost-efficient, enabling reliable access to data for analytics, reporting, and data science. Maintains platform performance and governance while supporting continuous improvement and collaboration across technical and business teams.</p><br><br><br>Key Accountability Areas <br><p>Platform Operations & Management:</p><br>
<ul>
<li>Manage the day-to-day operations of the data lake platform across cloud or on-premises environments</li>
<li>Ensure high availability, reliability, and performance of data storage and processing services</li>
<li>Monitor platform health, identify issues, and lead resolution efforts</li>
<li>Oversee compute, storage, and pipeline resource utilization</li>
</ul>
<p>Performance & Cost Optimization:</p><br>
<ul>
<li>Monitor system performance, usage trends, and capacity requirements</li>
<li>Optimize infrastructure costs across storage and compute resources</li>
<li>Identify performance bottlenecks and implement corrective improvements</li>
<li>Ensure scalability of the platform to support growing data volumes and workloads</li>
</ul>
<p>Data Governance, Security & Compliance:</p><br>
<ul>
<li>Enforce data access controls, security policies, and compliance requirements</li>
<li>Implement and maintain data lifecycle management policies (retention, archiving, deletion)</li>
<li>Support internal and external audit requirements</li>
<li>Ensure secure handling of sensitive and regulated data</li>
</ul>
<p>Platform Development & Change Management:</p><br>
<ul>
<li>Coordinate platform upgrades, patches, and feature enhancements</li>
<li>Collaborate with engineering teams on infrastructure and architecture improvements</li>
<li>Manage integration of new tools and services into the data ecosystem</li>
<li>Ensure controlled and low-risk deployment of platform changes</li>
</ul>
<p>Stakeholder Support & Enablement:</p><br>
<ul>
<li>Support data engineers, analysts, and data scientists using the platform</li>
<li>Troubleshoot platform, pipeline, and data access issues</li>
<li>Improve usability, discoverability, and accessibility of data assets</li>
<li>Act as escalation point for platform-related incidents and requests</li>
</ul>
<p>Monitoring, Reporting & Documentation:</p><br>
<ul>
<li>Define and track key performance indicators (KPIs) for platform health, cost, and usage</li>
<li>Provide regular reporting to leadership on platform performance and risks</li>
<li>Maintain operational documentation and standards for platform usage</li>
<li>Recommend improvements based on monitoring insight</li>
</ul><br><br>Role Accountability <br><p>HR Proficiency:</p><br>
<ul>
<li>Ability to recruit, recognize and cultivate high performers and expose them in order to create a robust second line of management.</li>
<li>Ability to recognize low performers and guide them to improve or release them.</li>
<li>Ability to treat subordinates equally without any discrimination.</li>
<li>Assessment criteria of subordinates is performance that leads to planned results.</li>
<li>Ensure availability of delegation of authority matrix to have sufficient delegations as per company policy.</li>
</ul>
<p>Responsibility:</p><br>
<ul>
<li>Must take full responsibility for his operation as per the job description and the required deliverables from this position, taking into consideration the general company guidelines.</li>
<li>Able to anticipate problems and make the necessary proactive steps to prevent them</li>
<li>Ability to take necessary and proper timely decisions.</li>
</ul>
<p>Delivery:</p><br>
<ul>
<li>Deliver the required results in timely manner with required quality and cost.</li>
<li>Making a Tangible Difference:</li>
<li>Must make a tangible difference to his area of operation. and exceed business expectations.</li>
</ul>
<p>Business Planning and Performance:</p><br>
<ul>
<li>Able to transform the corporate goals into business plans.</li>
<li>Able to Plan, follow-up and execute those plans, whether they are annual or development plans.</li>
<li>Monitor the plan performance and initiate action to strengthen results and take the corrective action accordingly.</li>
<li>Provide periodic work progress reports.</li>
<li>Responsible for monitoring and controlling budgets and expenses to achieve the optimum cost efficiency.</li>
</ul>
<p>Organizational Development:</p><br>
<ul>
<li>Develop the organizational structure according to the current requirements taking into consideration future and development plans.</li>
<li>Ensure availability of job descriptions for all job roles and deployment.</li>
</ul>
<p>Business Process Improvements:</p><br>
<ul>
<li>Develop, coordinate well-defined written systems, policies, procedures, and seek automations opportunities as much as possible.</li>
<li>Should be conversant and able to navigate through IT solutions especially those relevant to his job and business.</li>
<li>Promote the automated systems and using them fully, to spread its culture.</li>
</ul>
<p>Quality:</p><br>
<ul>
<li>Quality is considered as alfanar’s prime competitive advantage as such, managers are expected to act accordingly.</li>
</ul>
<p>Adaptation:</p><br>
<ul>
<li>Adapt to new and alternative techniques, technologies, management structures, and business models.</li>
</ul>
<p>Health, Safety and Environment:</p><br>
<ul>
<li>Ensure a safe, secure, and legal work environment as per the standard regulations.</li>
</ul><br><br>Academic Qualification <br>Bachelor Degree in Computer Engineering or Any relevant field<br><br><br>Work Experience <br>10-15 years<br>15+ years<br><br><br>Technical / Functional Competencies <br>Data Analysis<br>Data Lifecycle Management<br>Data Planning<br><br><br><br>
</div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
<div class="row is-m v-align-top t-small bg-mute">
<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Years_of_experience">
No experience required </div>
</div>
<div class="row is-m v-align-top t-small ">
<div class="col is-3 p5" data-automation-id="label_Degree">
<b>Degree</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
</div>
<p><strong>Data Center Logistics Specialist I</strong></p><p><strong>Role Purpose</strong>:</p><p>Perform logistics duties within a data center including inventory management, asset management, and data management. Role is responsible for receiving and shipment of goods as well as installation or decommissioning of assets utilizing both the warehouse management system and MHE.</p><p><strong>Key Accountabilities</strong>:</p><ul><li>Handles incoming/outgoing hardware (servers, parts, cables). Manage inventory, asset tagging, and tracking systems. Stages equipment for installation</li><li>Installs servers (rack and stack), connects power and network cables, and troubleshoots basic hardware issues</li><li>Prepares hardware before deployment, including labeling, configuration, and quality checks</li><li>Performs routine DC hardware installation, including equipment identification, basic rack and stack support, cable placement, labeling, documentation, and housekeeping, under close supervision and according to approved deployment procedures</li><li>Respond to alerts and incidents quickly to minimize downtime</li><li>Perform maintenance and upgrades on servers including routine work, troubleshooting, and outage resolution</li><li>Ensure environmental conditions are maintained to prevent overheating, outages, or infrastructure damage</li><li>Maintain data center security protocols including controlling access to systems and facilities</li><li>Ensure and protect compliance and sensitive data according to company policy and protocols</li></ul><p><strong>Required Education and Experience:</strong></p><ul><li>High School Diploma or equivalent, required.</li><li>Ability to read, write, and speak English</li><li>Previous experience in a data center desirable</li><li>Ability to utilize computer</li></ul><p ><strong>Our organization is an equal opportunity employer</strong></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Job Description:
<p>Our client is strengthening its enterprise decision-making capabilities by establishing a central Data & Business Intelligence function to support Artificial Intelligence initiatives and improve strategic insights across its operating companies.</p><br>
<p><strong>The Role</strong></p><br>
<p>Reporting to the Chief Artificial Intelligence Officer, the Manager of Data & Business Intelligence will lead the development of enterprise dashboards, executive reporting, analytics, and business intelligence capabilities across the Group.</p><br>
<p>The role will work closely with subsidiary leadership teams to consolidate operational and commercial data, establish common reporting standards, develop executive dashboards, and identify actionable insights that support AI-driven decision-making.</p><br>
<p>The Manager will also collaborate with AI Business Consultants to ensure data availability, reporting quality, and analytical capabilities support AI initiatives throughout the organisation.</p><br>
<p><strong>Candidate Profile</strong></p><br>
<p>Candidates should possess strong experience in business intelligence, enterprise reporting, analytics, or corporate performance management.</p><br>
<p>Expertise in Power BI, Tableau, Microsoft Fabric, SQL, or similar analytics platforms is highly desirable. Experience supporting executive decision-making through advanced analytics within diversified organisations will be considered a significant advantage.</p><br><br>
Required Skills:
<p>
<span>Performance</span>
<span>Intelligence</span>
<span>Data</span>
<span>AI</span>
<span>Support</span>
<span>Development</span>
<span>Artificial Intelligence</span>
<span>Business Intelligence</span>
<span>Decision-Making</span>
<span>Performance Management</span>
<span>Availability</span>
<span>Analytics</span>
<span>Tableau</span>
<span>Power BI</span>
<span>Business</span>
<span>SQL</span>
<span>Leadership</span>
<span>Management</span>
</p><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>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are searching for a strategic and inquisitive Data Scientist.<br> As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions.<br> You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.<br> What you'll do Communicate highly technical results and methods clearly to a wide variety of external clients.<br> Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.<br> Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.<br> Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making.<br> Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.<br> Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.<br> Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments.<br> You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.<br> 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models.<br> Programming experience over three years, including data manipulation using Python or other languages.<br> Good understanding of statistics and probability, such as Bayesian methods and conditional probability.<br> Applied experience in machine learning, such as conducting model experiments.<br> Experience in version control systems, such as Git, GitHub.<br> Experience in SQL or NoSQL is preferred.<br> Familiarity with big data technologies, such as Spark.<br> Experience in deep learning frameworks, such as PyTorch.<br> Familiarity with containerization frameworks, such as Docker.<br> Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads.<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">
<p><strong>Job Purpose</strong> </p><br><p>Role is to support the Principal Engineer in driving the implementation of technology use cases, vendor discussions, and in-house AI-ML applications on internal use cases. You will utilize your expertise in data science and artificial intelligence to contribute to the development and deployment of innovative solutions across the organization. </p><br><p><strong>Key Accountabilities</strong> </p><br><ul><li>Collaborate with the Principal Engineer to identify and evaluate AI-ML use cases for enhancing process efficiency and reducing reliance on conventional technologies.</li><li>Assist in developing and implementing novel data science and AI applications, including AI-advisory modelling, ML algorithms, and AI-based ESG and safety dashboards.</li><li> Conduct technical research to explore potential AI-ML applications and stay updated with emerging trends and advancements in the field. </li><li>Conduct technical research to explore potential AI-ML applications and stay updated with emerging trends and advancements in the field. </li><li>Contribute to the development of testing and validation protocols to ensure successful implementation of new technologies. </li><li>Collaborate with the Principal Engineer to establish best practices, standards, policies, and procedures for the adoption of novel AI and data science applications. </li><li>Stay updated with industry best practices and advancements in data science and artificial intelligence and share knowledge with the team.</li></ul><p><strong>Qualifications, Experience and Competencies</strong> </p><br><p><strong>Qualifications & Experience:</strong> </p><br><ul><li>Bachelor's degree in computer engineering, IT Engineering, Software Engineering, or a related field</li><li>5 - 10 years of experience in data science and AI-ML technologies, with a focus on driving innovation and efficiency improvements in the extractive industry. </li></ul><p><strong>Ma’aden High-Performance Competencies:</strong> </p><br><ul><li>Teamwork </li><li>Integrity </li><li>Care </li><li>Ownership </li><li>Accountability </li><li>Communication </li><li>Continuous improvement </li><li>Achievement Drive </li><li>Decisiveness and judgement </li><li>Impact and influence </li><li>Commercial Acumen </li><li>Strategic Visioning </li></ul><p><strong>Skills:</strong> </p><br><ul><li><p>Problem solving capability. </p><br></li><li><p>Fast learner, adaptable to change to work in an agile environment. </p><br></li><li><p>Demonstrated skills in mastering new knowledge and its applications. </p><br></li><li><p>Demonstrated ability to see underlying concepts and patterns in complex situations and their application to business decisions. </p><br></li><li><p>Work well in a cross-functional, strongly matrixed environment. </p><br></li><li><p>Critical thinking capabilities, analytical skills, action orientation </p><br></li></ul><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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Title: Senior Technical Specialist Data Integrity Salary: Competitive Location: Taif, Saudi Arabia JOB PURPOSE BAE Systems is the UK Government s nominated Prime Contractor under the Government-to-Government arrangements that are in place to provide equipment, support and training to Saudi Arabia. We provide maintenance of Royal Saudi Air Force (RSAF) aircraft and train RSAF and Royal Saudi Naval Force personnel safely in a training environment in how to use their aircraft, equipment and weapons. BAE Systems Saudi Arabia is committed to supporting the Saudi Arabian National Agenda including Saudisation and the training and development of Saudi National capability through the growth of the Saudi National Partner Companies thereby reinforcing Industrialisation and Partnerships. Lead and manage critical aspects of Typhoon Technical Support Service (TTSS) related to data integrity and management. Primary focus will be on ensuring the accuracy, consistency, and reliability of data within the Maintenix Integrated Maintenance Solution (IMS) and other related systems. Support the Technical Services Manager by overseeing data policies, assessing data change requests, and resolving data queries. This role requires strong collaboration with internal and external stakeholders to maintain high data standards and support the depth maintenance program. JOB ACCOUNTABILITIES Ensure the accuracy and integrity of data within the Maintenix IMS and other related systems, supporting the depth maintenance program and satisfying data analysis requirements. Assess and manage Data Change Requests (DCR) and any corresponding changes in IMS or Engineering Sub System (ESS) to sustain Typhoon Reference Data throughout its lifecycle. Test and validate reference and business data changes before their implementation into the live IMS Maintenix system. Resolve reference data queries, define amendments, and issue new data, authorising manual or automatic script file changes as needed. Assess and compare data integrity relating to aircraft and component life data stored in separate sources, including ESS, Technical Publications, and IMS Maintenix. Analyse Technical Specialist Reports and data provided by the In-Service Data Management Team to identify adverse trends and recommend improvements. Maintain local processes and procedures related to ESS Data Integrity. Establish and maintain effective communication between the UK-based In-Service Support Team (ISST), In-Kingdom Industry Participation (IKIP), Typhoon Design Support Team, Typhoon Approved Maintenance Organisation (AMO), European Industry via the BTSC at Warton, and the RSAF. Ensure that Technical Requests (TR) and other discrete tasks are satisfied within contracted KPMs. Prepare inputs to monthly and other TTSS performance reports, summarising TR activities, recording TR performance, and proposing potential improvements. Act as a subject matter expert (SME) for Typhoon IMS and ESS, providing technical advice to AMO, RSAF, and other TTSS stakeholders within approved data. Support TTSS data analysis, including from the In-Service Data Management Team, to identify trends in maintenance or operations and propose potential improvements. Provide structured on-the-job training, coaching, advice, and mentoring for RSAF and Saudi National Technical Specialists as required. RECRUITMENT SPECIFICATION Essential: Extensive post qualification practical maintenance/CA experience supported by formal record, including a minimum requirement of 5 years within relevant CA environment. Substantial Typhoon Data (ESS or IMS) experience. Strong knowledge of Typhoon aircraft systems, and associated support products, with experience in troubleshooting, repair, and maintenance. Ability to communicate technical information clearly and effectively to both technical and non-technical stakeholders. A recognised qualification to NVQ3/ONC/OND/BTEC level in a relevant technical discipline, or a technical apprenticeship, or suitable equivalent technical qualification acceptable to M&CA, OR Part 66 licensed (current or lapsed), or suitable equivalent technical license acceptable to M&CA. And Saudi Engineering Council (SEC) Registration. Fluent in English, with excellent communication skills, both written and verbal. Desirable: Should be able to work on his own initiative to resolve complex technical issues. Should have broad aerospace and defence company / industry knowledge. Experience in managing Technical Requests (TRs) and using systems such as TeamCenter for Request resolution. Computer literate with a sound understanding of the Microsoft Office suite. NVQ5/BTEC/HND or Degree in a relevant technical discipline, acceptable to M&CA. Incorporated or Technician Engineer with an appropriate professional institute such as Saudi Council of Engineers, Royal Aeronautical Society or Institute of Engineering & Technology. EXPATRIATE EMPLOYEE BENEFITS In return for the required high levels of commitment and hard work you will receive a competitive salary, rent free accommodation and access to free recreation facilities, all available within Company secured accommodation. In addition, a generous leave and travel allowance makes this an opportunity not to be missed. On successfully securing a role your appointment to Saudi Arabia will initially be on single status. On commencement of employment in Saudi Arabia you will have the opportunity to apply to have your family join you in the future. A full health care scheme is provided within Saudi Arabia. SAUDI NATIONAL EMPLOYEE BENEFITS In return for the required high levels of commitment and hard work you will receive a competitive salary and benefits package, including a generous leave and travel allowance, a full health care scheme and access to subsidised recreational facilities BAE Systems At BAE Systems, we provide some of the world s most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of 89,600 people in more than 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure. All appointments in Saudi Arabia are subject to receipt of all necessary Government and/or Customer approvals.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>RECRUITMENT SPECIFICATION Essential: Extensive post qualification practical maintenance/CA experience supported by formal record, including a minimum requirement of 5 years within relevant CA environment. Substantial Typhoon Data (ESS or IMS) experience. Strong knowledge of Typhoon aircraft systems, and associated support products, with experience in troubleshooting, repair, and maintenance. Ability to communicate technical information clearly and effectively to both technical and non-technical stakeholders. A recognised qualification to NVQ3/ONC/OND/BTEC level in a relevant technical discipline, or a technical apprenticeship, or suitable equivalent technical qualification acceptable to M&CA, OR Part 66 licensed (current or lapsed), or suitable equivalent technical license acceptable to M&CA. And Saudi Engineering Council (SEC) Registration. Fluent in English, with excellent communication skills, both written and verbal. Desirable: Should be able to work on his own initiative to resolve complex technical issues. Should have broad aerospace and defence company / industry knowledge. Experience in managing Technical Requests (TRs) and using systems such as TeamCenter for Request resolution. Computer literate with a sound understanding of the Microsoft Office suite. NVQ5/BTEC/HND or Degree in a relevant technical discipline, acceptable to M&CA. Incorporated or Technician Engineer with an appropriate professional institute such as Saudi Council of Engineers, Royal Aeronautical Society or Institute of Engineering & Technology.</p><p></p></section>