Data Entry Jobs in Saudi

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>What We Do</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>About the Role</p><p>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p>Key Responsibilities</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation</p><p>On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p>Technical Skills (Essential)</p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p>Additional requirements</p><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

Teradata DBA Administrator & Hardware Support Location: Jeddah, Saudi Arabia Level: Mid-Senior | 5–10 years’ experience Engagement: 12 month FIXED term contract<br>The Role My client is looking for an experienced Teradata DBA Administrator & Hardware Support Engineer to take ownership of the administration, monitoring, performance, maintenance and L2/L3 support of their Teradata Vantage platform.<br>You will work across production and non-production environments, supporting Teradata Vantage 16/17.x, Intelli Flex, VMware and the wider Teradata ecosystem, while ensuring high availability, performance, security and operational stability.<br>Key Responsibilities Install, configure and administer Teradata Vantage 16/17.x across Intelli Flex and VMware environments. Manage and support Viewpoint, Query Grid, Data Mover, BCM and Data Stream Utility. Monitor system health, query performance and resource utilization using Teradata Viewpoint. Perform performance tuning, query optimization and TASM/workload management. Manage backup, recovery and disaster recovery processes using Data Stream Utility and BCM. Support data migration, replication and refresh activities using Data Mover. Configure and support Query Grid for cross-platform data access. Manage database users, roles, permissions and security controls. Perform patching, upgrades and platform maintenance, ensuring compatibility across the Teradata ecosystem. Provide L2/L3 production and non-production support, troubleshooting database, platform and infrastructure issues.<br>Required Experience5–10 years of hands-on Teradata DBA / platform administration experience. Strong experience with Teradata Vantage 16/17.x. Hands-on experience with:Teradata Viewpoint Query Grid Data Mover Business Continuity Manager (BCM) Data Stream Utility Intelli Flex VMware Strong SQL, performance tuning and workload management/TASM capabilities. Experience with Linux/Unix and shell scripting. Knowledge of REST APIs, CLIv2 and data integration technologies. Experience supporting enterprise-scale production environments and resolving complex infrastructure/database issues.<br>*** Only successful candidates will be contacted ***

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>What We Do The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p>Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p><p>Project time expectations For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><h2>Educational qualifications</h2><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><h2>Academic and/or Professional Experience</h2><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><h2>Technical Skills (Essential)</h2><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><h2>Additional requirements</h2><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

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

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

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

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

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

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p><strong>What We Do</strong></p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p><strong>About the Role</strong></p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Educational qualifications</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li></ul><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p><strong>Project time expectations</strong></p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Own end-to-end Master Data Management (MDM) solution architecture, data modeling, and integration strategy. Key Responsibilities MDM architecture (Informatica IDMC / MDM Hub) Data model design (Product, Policy, BP) Match &amp; merge strategy Integration design (APIs, batch) Data governance design</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>12+ years of experience in Master Data Management.</li><li>Strong expertise in: Informatica MDM / IDMC Multi-domain MDM Data architecture</li><li>Tools &amp; Technologies: Informatica MDM (Hub / SaaS) Informatica CDI / CAI Data modeling tools (ERWin, ER Studio) API frameworks (REST, ESB)</li></ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Gathern is seeking a dedicated <strong style="font-weight:700;">Systems Accountant</strong> to join our team in Riyadh, Riyadh Province. This full-time position is central to managing and optimizing our financial data and systems infrastructure, ensuring robust and integrated financial operations.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Objectives</h3> <p style="margin:0 0 12px; ************;">The Systems Accountant will serve as the owner of the finance data and systems layer. This role involves mapping and controlling all automated financial pipelines from the core platform, Metabase, and various SaaS applications into Microsoft Dynamics. A primary objective is to lead finance system implementations from end to end, while also enforcing stringent system controls and segregation of duties. The role aims for a 48-hour corrective action timeframe and maintaining ** data integrity across all financial data sources.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Map, monitor, and maintain automated financial data pipelines across the core platform, Metabase, Microsoft Dynamics, and supporting SaaS applications (procurement, payroll, expense-management tools).</li> <li style="margin:0 0 6px;">Act as the Finance Project Lead for new software, modules, and system upgrades, including defining business requirements, building future-state process maps, and leading cross-departmental rollouts.</li> <li style="margin:0 0 6px;">Design and execute rigorous User Acceptance Testing (UAT) scripts and data-migration protocols, ensuring zero data loss or misalignment during deployments and schema changes.</li> <li style="margin:0 0 6px;">Serve as super-user and administrator of Microsoft Dynamics and peripheral finance applications; design and enforce system controls, user-access mapping, and strict Segregation of Duties (SoD).</li> <li style="margin:0 0 6px;">Investigate and resolve data-sync failures, transaction-processing errors, and ledger mismatches, taking corrective action within 48 hours and proactively automating manual workarounds.</li> <li style="margin:0 0 6px;">Collaborate with the Business Intelligence (BI) team to ensure Metabase data structures accurately reflect accounting logic and the Chart of Accounts, maintaining ** integrity across all data sources.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Accounting, Information Systems, Finance, Computer Science, or a related field.</li> <li style="margin:0 0 6px;">3 to 5 years of experience in finance systems, enterprise resource planning (ERP), or financial data management.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience supporting finance system integrations and data validation.</li> <li style="margin:0 0 6px;">Proficiency with Microsoft Dynamics 365 or a comparable enterprise resource planning system.</li> <li style="margin:0 0 6px;">Experience developing financial reports, dashboards, and data quality controls.</li> <li style="margin:0 0 6px;">Experience supporting finance automation and digital transformation initiatives.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Type and Location</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, Riyadh Province.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Own end-to-end Master Data Management (MDM) solution architecture, data modeling, and integration strategy. Key Responsibilities MDM architecture (Informatica IDMC / MDM Hub) Data model design (Product, Policy, BP) Match &amp; merge strategy Integration design (APIs, batch) Data governance design</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Skills 1215+ years of experience in Master Data Management. Strong expertise in: Informatica MDM / IDMC Multi-domain MDM Data architecture Tools &amp; Technologies Informatica MDM (Hub / SaaS) Informatica CDI / CAI Data modeling tools (ERWin, ER Studio) API frameworks (REST, ESB)</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Owner of the finance data and systems layer: maps and controls every automated pipeline from the platform, Metabase and SaaS applications into Microsoft Dynamics, leads finance system implementations end to end, and enforces system controls and segregation of duties with 48-hour corrective action and 99.5% integrity across all data sources.</p><p>Map, monitor and maintain automated financial data pipelines across the core platform, Metabase, Microsoft Dynamics and supporting SaaS applications (procurement, payroll, expense-management tools).</p><p>Act as the Finance Project Lead for new software, modules and system upgrades define business requirements, build future-state process maps, and lead cross-departmental rollouts.</p><p>Design and execute rigorous UAT scripts and data-migration protocols zero data loss or misalignment during deployments and schema changes.</p><p>Serve as super-user / administrator of Microsoft Dynamics and peripheral finance apps; design and enforce system controls, user-access mapping and strict Segregation of Duties (SoD).</p><p>Investigate and resolve data-sync failures, transaction-processing errors and ledger mismatches corrective action within 48 hours; proactively automate manual workarounds.</p><p>Collaborate with the BI team so Metabase data structures reflect accounting logic and the Chart of Accounts; maintain 99.5% integrity across all data sources.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Accounting, Information Systems, Finance, Computer Science, or a related field.</li><li>3 to 5 years of experience in finance systems, enterprise resource planning, or financial data management.</li><li>Experience supporting finance system integrations and data validation.</li><li>Experience with Microsoft Dynamics 365 or a comparable enterprise resource planning system.</li><li>Experience developing financial reports, dashboards, and data quality controls.</li><li>Experience supporting finance automation and digital transformation initiatives.</li></ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">TMC Middle East is seeking a skilled Business Data Analyst to support a project for a key client in Saudi Arabia. This full-time position requires a professional with a strong background in data analysis and business intelligence to contribute to the successful delivery of this assignment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <p style="margin:0 0 12px; ************;">The Business Data Analyst will be responsible for:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Developing and executing data preparation workflows.</li> <li style="margin:0 0 6px;">Performing data analysis using Python libraries such as pandas and NumPy.</li> <li style="margin:0 0 6px;">Writing and optimizing SQL queries for data extraction and aggregation.</li> <li style="margin:0 0 6px;">Creating comprehensive dashboards and reports to visualize data insights.</li> <li style="margin:0 0 6px;">Communicating analytical findings effectively to diverse audiences.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates must meet the following essential criteria:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Fluency in Arabic, both spoken and written, is mandatory.</li> <li style="margin:0 0 6px;">A minimum of 5 years of experience in a data analyst or business intelligence role.</li> <li style="margin:0 0 6px;">Hands-on experience building data preparation workflows using Alteryx.</li> <li style="margin:0 0 6px;">Proficiency in Python for data analysis (*, pandas, NumPy).</li> <li style="margin:0 0 6px;">Experience working with Google Cloud Platform, specifically BigQuery.</li> <li style="margin:0 0 6px;">Strong SQL skills for data querying and manipulation.</li> <li style="margin:0 0 6px;">Experience in creating dashboards and reports using tools like Power BI or Tableau.</li> <li style="margin:0 0 6px;">Demonstrated strong analytical thinking and meticulous attention to detail.</li> <li style="margin:0 0 6px;">The ability to clearly articulate insights to both technical and non-technical stakeholders.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Experience</h3> <p style="margin:0 0 12px; ************;">The following qualifications are considered advantageous:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Alteryx Designer certification.</li> <li style="margin:0 0 6px;">Experience with statistical analysis or basic predictive modeling techniques.</li> <li style="margin:0 0 6px;">Familiarity with version control systems like Git and collaborative analytics workflows.</li> <li style="margin:0 0 6px;">A relevant degree in a quantitative or business-related field.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Context</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Saudi Arabia. The role involves working on a project for a prestigious customer, requiring close collaboration within a project team.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Senior Data Integration Developer with strong expertise in SSIS, Informatica PowerCenter, Oracle, and Microsoft SQL Server to design, develop, and maintain enterprise-grade data integration and ETL solutions.<br> Key Responsibilities: Design, develop, test, and maintain enterprise-grade ETL solutions using SQL Server Integration Services (SSIS) and Informatica PowerCenter .<br> Build, optimize, and support data integration workflows to meet business and operational requirements.<br> Design and implement scalable data warehousing solutions.<br> Execute and support large-scale data migration projects while ensuring data quality, consistency, and integrity.<br> Develop, optimize, and maintain Oracle PL/SQL packages, procedures, functions, and triggers.<br> Develop advanced T-SQL scripts, stored procedures, and optimize performance in Microsoft SQL Server .<br> Analyze business and technical requirements and recommend scalable data integration solutions.<br> Troubleshoot ETL failures, resolve performance bottlenecks, and address data quality issues.<br> Collaborate with business stakeholders, solution architects, database administrators, and development teams to deliver high-quality solutions.<br> Adhere to coding standards, documentation best practices, and change management processes.<br> Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.<br> Min 5+ Years of experience in SQL Server Integration Services (SSIS 2019) for designing, developing, and deploying ETL solutions.<br> Extensive experience in Informatica PowerCenter development, including ETL workflows, mappings, and performance optimization.<br> Proven expertise in enterprise ETL architecture, design, development, and optimization for large-scale data integration projects.<br> Strong understanding of data warehousing concepts , including dimensional modeling, data marts, and ETL best practices.<br> Hands-on experience in data migration planning, execution, validation, and reconciliation across enterprise systems.<br> Database Technologies Strong experience with Oracle Database administration and development.<br> Expertise in Oracle PL/SQL programming, including packages, procedures, functions, triggers, and performance tuning.<br> Extensive experience with Microsoft SQL Server development and administration.<br> Advanced proficiency in T-SQL , including query optimization, indexing strategies, stored procedures, and performance tuning.<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>

Role: Power BI Developer EXP: 7+yrs Location: Riyadh, Saudi<br><br>Must have skills:• Expertise in creating advanced Power BI dashboards.• Strong DAX and data modeling skills.• Experience integrating Power BI with multiple data sources (e.g., SQL, APIs, cloud-based data warehouses).• Proficiency in Power BI report development and optimization.• Hands-on experience with Power Query and data transformation in Power BI.<br>Good to have skills:• Knowledge of Azure Data Services (Azure SQL, Azure Synapse).• Experience in Power BI governance and administration.• Experience working in the real estate or construction sectors.• Familiarity with performance optimization and large dataset handling.• Knowledge of creating custom visuals in Power BI. Responsibility:• Design, develop, and deliver high-quality Power BI dashboards and reports.• Work closely with the Diriyah team to meet reporting and visualization requirements.• Integrate Power BI with multiple enterprise systems and ensure real-time data refreshes

<p>Data Center Planner oversees activities carried out by 24x7 shift teams for Data Centers as well as responsible for ensuring sufficient personnel is available for each Operations shift. Shall also carry out capacity planning, ensuring new deployments meet the capacity requirements. Is responsible for making sure the racking and associated activities, including any changes, are in compliance with the Data Center standards and Change processes. The work location would be in Thuwwal, Saudi Arabia.</p><p>Scope of Work</p><ul><li>Capacity planning for Data Center hosting.</li><li>Prepare racking diagrams and assign it to relevant shifts.</li><li>Oversee racking and related activities carried out by the DC Operations team.</li><li>Manage the shift schedule for the Data Center Operations.</li><li>Liaise with OSP/ISP Team for the interbuilding connectivity requirements.</li><li>Plan and recommend Data Center Operational requirements.</li><li>Vendor Management</li><li>Manage Data Center Asset Register</li><li>Oversee break/fix of all Windows/Linux servers throughout the Data Center when hardware failures occur by helping the system owners/proponents troubleshoot issues and sending the appropriate hardware in coordination with the Vendor.</li><li>Proactive Monitoring and recording of facility security, HVAC, Fire Detection and Suppression Systems, Temperature, Humidity and critical power systems.</li><li>Ensuring that the Data Center is secure at all times.</li><li>Ensure all visitors are signed in and escorted at all times while in the Data Centers.</li><li>Perform other various misc. operational duties as per the SOP approved by the Data Center Lead</li><li>Compliance with TIA 942 standards for Copper and Fiber cabling across all Data Centers</li><li>Interface with vendors such as HP, Dell, SUN and Supermicro on the implementation of hardware/systems.</li><li>Willing to work a flexible shift including nights and weekends, and participate in an on-call rotation, if and when required.</li><li>Participates and performs any other tasks that are assigned by upper management as required.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>BS or diploma in computer science engineering, IT, Electrical/ Electronics engineering or Mechanical engineering is required. Minimum 5 years of IT experience with at least 3 years in Data Centers. APC infrastructure experience is required. Should be able to co-ordinate the day to day activities and preventive maintenance with the facility team and IT staff as per the instructions of the Data Center Lead. Should have good experience with communications circuits and Ethernet cabling (structured copper cabling and fiber optic cables). Proficient in Windows server and Linux configuration and troubleshooting. Proficient in MS Office. Basic knowledge of electrical and mechanical components like Online Double Conversion UPS, Dynamic Rotary UPS, medium/low voltage circuits, and chilled water-cooled HVAC systems.</p>