SQL Jobs - Dhahran Saudi

<p><strong>Technical Skills</strong></p><p><strong>Frontend:</strong></p><p>- React, Vite, TypeScript, JavaScript, HTML5, CSS</p><p>- Modern dashboard UI development</p><p>- REST API integration</p><p>- Real-time UI updates and streaming responses</p><p>- Responsive and user-friendly enterprise application design</p><p><br></p><p><strong>Backend:</strong></p><p>- Python, Fast API, REST API development</p><p>- Node.js / Express.js is a plus</p><p>- MySQL / relational database design</p><p>- SQL queries, schema design, and data modeling</p><p>- Background jobs, data processing, and integration services</p><p>- Agentic AI and Automation</p><p><br></p><p><strong>Integration:</strong></p><p>- API integration with monitoring, ITSM, CMDB, BCM, and knowledge systems</p><p>- Data normalization and correlation logic</p><p>- JSON-based data processing</p><p>- Authentication and authorization concepts (Single-Sign-ON services)</p><p><br></p><p><strong>DevOps:</strong></p><p>- Git / GitLab / Azure DevOps</p><p>- Docker / containerized application development</p><p>- Red Hat OpenShift deployment knowledge is preferred</p><p>- Environment configuration and application troubleshooting</p><p><br></p><p><strong>General:</strong></p><p>- BS degree in Computer Science</p><p>- Strong problem-solving skills</p><p>- Ability to work with operational data</p><p>- Ability to document technical work clearly</p><p>- Experience in enterprise IT, monitoring, service management, or AIOps is preferred</p>

Job Title – Data Engineer Company – TCS (MEA) Location – Dhahran, KSAJob type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Strong background in data engineering and big data technologies.<br>Skills:<br>Python/Scala/Java, Spark, SQL/NoSQL DBs, ETL/data modeling, Airflow, data lakes, Git, Agile.<br>Application Deadline: 30-August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Job Title – Business Systems Analyst Company – TCS (MEA) Location – Dhahran, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Business analysis and solution design Gather business requirements from the Risk Department, and translate them into functional and technical specifications, data models, and process flows. Design, document, and implement solutions for reporting, analytics, and system enhancements, working with IT and vendors from concept through delivery. Prepare test cases, coordinate user acceptance testing, validate system changes, and ensure documentation and sign-off before implementation. Data engineering and reporting automation Develop and maintain data models supporting exposure reporting, P&L analysis, and management dashboards, including relational structures, reference data, and reporting data repositories Use SQL, Python, Power BI or similar tools to query, transform, reconcile, and validate trading, pricing, exposure, limit utilization, other-related risk data, and to automate daily reporting processes Identify and deliver opportunities to reduce manual adjustments, strengthen controls, and improve the reliability and timeliness of Risk reporting Systems and data integrity Investigate system and data issues across trade capture, pricing formulas, valuation logic, curve setup, missing fixings, and mapping errors, identifying root cause and driving resolution with IT and vendors. Support data governance and control processes covering trades, prices, curves, counterparties, trade books, shipping, nominations, and valuation parameters. Desired Experience and Skills Proven experience as a Business Systems Analyst, Business Analyst, or Data Analyst delivering system and reporting solutions in a trading, banking, energy, or similarly data-intensive environment. Demonstrated ability to translate business requirements into technical designs : functional specifications, data models, process flows, and test scripts, and to see them through to implementation. Strong practical SQL, Power BI, Python or similar skills for querying, joining, transforming, and validating large datasets. Familiarity with control frameworks, audit requirements, change management, and production support Solid understanding of data modeling concepts: relational structures, reference vs. transactional data, dimensional models, and reporting data marts Experience with APIs, data pipelines, data warehouses, or cloud platforms is a plus Strong investigative and problem-solving skills : able to trace reporting discrepancies through data, calculation logic, and system configuration to root cause. Strong communication skills, able to explain technical issues to business users and business intent to technical teams Ability to work under time pressure supporting critical daily reporting processes. Knowledge of commodity pricing structures: fixed and floating price, index-linked and average pricing, pricing periods, swaps, futures, options, and physical cargo pricing Exposure to Middle Office, Market Risk, or Product Control processes in a commodity trading environment (oil, gas, LNG, LPG, refined products, crude, or chemicals).<br>Experience with ETRM/CTRM platforms : SAP Commodity Management, Endur, Allegro, Right Angle, or similar systems <br>Application Deadline: 30-August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">Abdullah A. Al-Barrak &amp; Son Co. is seeking an <strong style="font-weight:700;">Associate Data Scientist</strong> to be based in Dhahran, Eastern region. This full-time role involves working on advanced data science solutions within Saudi Aramco, with a focus on Artificial Intelligence, Machine Learning, and cloud-based technologies.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Position Focus</h3> <p style="margin:0 0 12px; ************;">The ideal candidate will have hands-on experience in the development and deployment of AI/ML models. This role requires engagement with Large Language Models (LLMs) and Generative AI technologies, alongside proficiency in cloud platforms, containerization, and modern MLOps practices within an enterprise environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Activities</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;">Develop and deploy Artificial Intelligence (AI) and Machine Learning (ML) models.</li> <li style="margin:0 0 6px;">Work with Large Language Models (LLMs) and Generative AI technologies.</li> <li style="margin:0 0 6px;">Utilize cloud platforms and containerization for data science solutions.</li> <li style="margin:0 0 6px;">Apply modern MLOps practices within enterprise environments.</li> <li style="margin:0 0 6px;">Contribute to the implementation of cloud-based data science solutions.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">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;">Bachelor's degree in Computer Science or an equivalent field.</li> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">5 years of relevant experience</strong> in data science, AI, or Machine Learning.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Technical 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;">Strong proficiency in <strong style="font-weight:700;">Python</strong> and <strong style="font-weight:700;">SQL</strong>.</li> <li style="margin:0 0 6px;">Experience with container orchestration and cloud platforms, including <strong style="font-weight:700;">Kubernetes</strong>, <strong style="font-weight:700;">Docker</strong>, <strong style="font-weight:700;">GCP</strong>, or <strong style="font-weight:700;">OpenShift</strong>.</li> <li style="margin:0 0 6px;">Hands-on experience in Machine Learning, LLMs, Generative AI, and MLOps/LLMOps.</li> <li style="margin:0 0 6px;">Experience with CI/CD tools such as <strong style="font-weight:700;">Git</strong>, <strong style="font-weight:700;">Jenkins</strong>, and <strong style="font-weight:700;">ArgoCD</strong>.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Attributes 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;">Familiarity with <strong style="font-weight:700;">Hugging Face</strong>, <strong style="font-weight:700;">NVIDIA GPUs</strong>, <strong style="font-weight:700;">NIMs</strong>, and distributed AI environments is highly preferred.</li> <li style="margin:0 0 6px;">Demonstrated excellent communication, collaboration, and project management skills.</li> </ul>

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

<p><strong>Job Title</strong> – Senior Software Engineer – AI &amp; Cloud Applications (GCP)</p><p><strong>Company</strong> – TCS (MEA)</p><p><strong>Location</strong> – Dhahran, Saudi Arabia (KSA)</p><p><strong>Job type</strong> – Full time</p><p><br></p><p><strong>About Us:</strong></p><p>Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.</p><p>A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.</p><p><br></p><p><strong><u>Job Description:</u></strong></p><p><br></p><p><strong>Role Overview:</strong></p><p><br></p><p>The organization is seeking a hands-on Senior Software Engineer to lead the development, integration, and ongoing enhancement of enterprise software and AI-powered applications across Front, Middle, and Back Office functions.</p><p>This position represents a foundational hire in building the organization’s internal software engineering capability, with the objective of progressively transitioning from vendor-led development to internally owned and delivered digital products.</p><p>The successful candidate will initially work closely with external technology partners to review, inherit, and enhance existing solutions while independently developing new applications. The role combines strong software engineering expertise with cloud-native development (Google Cloud), DevOps practices, and exposure to AI technologies.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><p><strong>1. Software &amp; AI Product Engineering:</strong></p><p><br></p><p>• Design, develop, test, and maintain enterprise applications, digital products, APIs, and backend services.</p><p>• Build end-to-end applications, including backend, frontend, database, and system integrations.</p><p>• Develop and integrate AI-powered capabilities, including LLM applications, AI agents, and intelligent automation.</p><p>• Translate business requirements into scalable, secure, production-ready solutions.</p><p>• Support digital product development across trading, risk management, operations, finance, and corporate functions.</p><p><br></p><p><strong>2. Vendor Transition &amp; Technical Ownership:</strong></p><p><br></p><p>• Review, assess, and take ownership of source code and applications developed by external vendors.</p><p>• Lead technical knowledge transfer, code handovers, and transition of vendor-developed solutions to internal ownership.</p><p>• Evaluate code quality, architecture, security, maintainability, and technical documentation.</p><p>• Independently troubleshoot, enhance, and extend inherited applications.</p><p>• Establish reusable components, development standards, and engineering practices to reduce long-term reliance on external vendors.</p><p><br></p><p><strong>3. Cloud Engineering &amp; DevOps:</strong></p><p><br></p><p>• Develop, deploy, and maintain applications on Google Cloud Platform (GCP).</p><p>• Implement and manage CI/CD pipelines, version control, automated testing, and release processes.</p><p>• Manage application deployments across development, testing, and production environments.</p><p>• Implement application monitoring, logging, troubleshooting, and performance optimization.</p><p>• Collaborate with the existing GCP administrator on cloud infrastructure, security, access management, and deployment environments.</p><p><br></p><p><strong>4. Internal Engineering Capability Development:</strong></p><p><br></p><p>• Help establish the internal software development practices, coding standards, documentation, and technical architecture.</p><p>• Contribute to technology selection, engineering frameworks, and reusable development accelerators.</p><p>• Support the evolution of internal software engineering capabilities, including onboarding and mentoring future developers.</p><p>• Work closely with AI engineers, data scientists, product owners, business teams, and third-party vendors to deliver enterprise-grade solutions.</p><p><br></p><p><strong>Required Qualifications &amp; Experience:</strong></p><p><br></p><p>• Bachelor’s degree in Computer Science, Software Engineering, or a related field.</p><p>• 10+ years of hands-on software development experience, including experience delivering production applications.</p><p>• Strong proficiency in Python and backend development frameworks such as FastAPI or Django.</p><p>• Experience in frontend development using React, TypeScript, JavaScript, or equivalent technologies.</p><p>• Strong understanding of software architecture, REST APIs, databases (SQL/NoSQL), application integration, and security.</p><p>• Hands-on experience with GCP services, particularly Cloud Run, Cloud Build, Cloud Storage, and related application development services.</p><p>• Experience with Git, Docker, CI/CD pipelines, automated testing, and application deployment.</p><p>• Demonstrated ability to independently design, develop, troubleshoot, and maintain production-grade applications.</p><p>• Experience working with third-party developers, reviewing code, or taking ownership of externally developed software.</p><p><br></p><p><strong>Preferred Qualifications:</strong></p><p><br></p><p>• Experience with Vertex AI, Gemini APIs, LLM applications, RAG architectures, and AI agents.</p><p>• Familiarity with Terraform, Kubernetes, and Infrastructure as Code.</p><p>• Experience with data engineering, enterprise integrations, event-driven architectures, and cloud-native microservices.</p><p>• Exposure to commodity trading, energy markets, financial services, or enterprise trading and risk management systems.</p><p>• Experience building engineering capabilities, defining development standards, or mentoring junior developers.</p><p><br></p><p><strong>Application Deadline: 30-November-2026</strong></p><p><br></p><p><strong>Privacy Note:</strong></p><p>https://www.tcs.com/connect-with-tcs/privacy-policy</p>