Python Developer Jobs in Saudi

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Senior Generative AI (GenAI) Engineer Description InnovationTeam is a forward-thinking technology company that specializes in delivering advanced AI-driven solutions to enterprises and government organizations.<br> We are currently seeking a highly skilled Senior Generative AI (GenAI) Engineer to join our AI team.<br> As a Senior GenAI Engineer at InnovationTeam , you will be responsible for designing, developing, and deploying large-scale generative AI solutions.<br> You will work closely with cross-functional teams to translate business and technical requirements into robust AI systems and bring them into production.<br> This role requires deep expertise in modern AI architectures, large language models, and production-ready software engineering practices.<br> The ideal candidate is highly motivated, detail-oriented, and capable of owning AI solutions end to end.<br> At InnovationTeam , we value innovation, collaboration, and continuous learning.<br> We provide a flexible and inclusive work environment where your expertise is recognized and opportunities for professional growth are continuously supported.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Generative AI technologies to develop, optimize, and deploy AI Agents and solutions.<br> The role involves working on real-world use cases and data analytics problems and delivering production-ready AI systems.<br> Key Responsibilities · Design, develop, and optimize Generative AI solutions (LLMs, RAG systems, AI agents).<br> · Fine-tune, evaluate, and deploy large language models for enterprise use cases.<br> · Build and maintain end-to-end AI pipelines, from data ingestion to inference.<br> · Implement Retrieval-Augmented Generation (RAG) using vector databases and knowledge stores.<br> · Integrate GenAI solutions with existing systems via APIs and microservices.<br> · Optimize model performance, latency, and cost on cloud platforms (OCI, AWS, Azure, or GCP).<br> · Collaborate with product, data, and engineering teams to translate business needs into AI solutions.<br> · Ensure AI solutions follow best practices in security, governance, and responsible AI.<br> · Stay up to date with the latest developments in GenAI, LLMs, and AI tooling.<br> Required Skills &amp; Qualifications · Minimum 5 years of professional experience in AI / Machine Learning.<br> · Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.<br> · Proficiency in programming languages such as python , Java , and Ruby.<br> · Strong experience with Large Language Models (LLMs) (e.<br>g., GPT, LLaMA, Mistral, etc.<br>). · Hands-on experience with Python and AI/ML frameworks (PyTorch, TensorFlow).<br> · Solid understanding of NLP, deep learning, and transformer architectures.<br> · Experience with RAG architectures, vector databases (FAISS, OpenSearch, Pinecone, etc.<br>). · Strong software engineering skills (APIs, REST, microservices, Docker, Kubernetes).<br> · Experience deploying AI workloads on cloud platforms (OCI preferred).<br> · Excellent problem-solving and analytical skills.<br> · Excellent command of English (written and spoken).<br> Nice to Have · Experience with GPU-based training and inference.<br> · Familiarity with MLOps / LLMOps practices.<br> · Experience in regulated or enterprise environments.<br> · Knowledge of AI governance, ethics, and compliance frameworks.<br> What We Offer · Opportunity to work on cutting-edge Generative AI projects.<br> · Collaborative, innovation-driven environment.<br> · Competitive compensation package.<br> · Access to modern AI infrastructure and cloud resources.<br> · Professional growth and learning opportunities.<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>We are supporting search for the position of Data Engineer with one of our clients in Saudi Arabia. Position: Data Engineer Location: Riyadh, Saudi Arabia Work-model: On-site Role overview: Responsible to design, build, and maintain robust data pipelines, warehousing solutions, and analytics platforms that serve operational and executive decision-making across its mining divisions. You will work within a high-performing team to ingest data from diverse source systems, ensure data quality and governance, and enable self-serve analytics at scale. This role demands deep ETL/ELT expertise, strong cloud platform skills, and a delivery mindset. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines across batch and real-time modes using Azure Synapse Analytics, Azure Databricks, Informatica PowerCenter/IICS, and Microsoft SSIS. Build and optimise star/snowflake schema data models, subject-oriented data marts, and centralised data warehouse solutions. Develop PySpark transformation jobs for large-scale data processing; manage datasets in Snowflake, Azure SQL, AWS Redshift, and Oracle. Implement Master Data Management (MDM) solutions to eliminate duplication and establish single trusted records across source systems. Develop Python-based validation scripts and automated data quality checks to ensure pipeline integrity and reduce failure rates. Build API-driven and file-based ingestion pipelines for near-real-time data integration from heterogeneous source systems. Design and deliver executive Power BI dashboards and Tableau reports for C-suite and operational stakeholders. Ensure data governance compliance, lineage, metadata management, classification, and access control. Mentor junior engineers; participate in code reviews, Agile ceremonies, and cross-functional collaboration with analytics and AI teams</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Must-Have Requirements:</strong> 6+ years of data engineering experience with a strong ETL/ELT delivery track record. Hands-on expertise in Azure Synapse Analytics and/or Azure Databricks (PySpark). Proficiency in Informatica PowerCenter/IICS and/or Microsoft SSIS for enterprise ETL. Database expertise: SQL Server, Oracle, Snowflake, Azure SQL, AWS Redshift. Strong Python and SQL skills; experience with data validation and transformation scripting. Cloud platform experience: Azure (preferred) and/or AWS. Experience with BI tools: Power BI and/or Tableau for executive reporting. Understanding of data governance, MDM, data quality, and performance tuning. <strong>Preferred Qualifications:</strong> CDMP (Certified Data Management Professional) or equivalent certification. Experience in government, energy, or mining sector data environments. AWS Cloud Practitioner or Azure Data Engineer Associate certification. Experience with Acumatica ERP, MoEngage, or similar platform integrations. Familiarity with Azure OpenAI and AI model integration into data workflows. Prior work experience in KSA or GCC government/public sector.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<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>On behalf of our client, we are seeking a highly skilled Machine Learning Engineer to join their team in Al Khobar. The role is responsible for designing, developing, and productionizing machine learning algorithms for financial intelligence systems, with a focus on Cost Variance, Cost Forecasting, Scenario and What-If Analysis, and KPI Variance. The position combines advanced quantitative data science with robust software engineering, covering the full lifecycle of predictive models from mathematical formulation and prototyping to scalable production pipelines. The role requires strong expertise in machine learning, statistical modelling, time-series forecasting, Python, and MLOps, with experience in financial, economic, or operational planning data considered highly relevant.</p><p>Responsibilities:</p><ul><li>Design, train, and validate advanced machine learning and statistical models for multi-horizon cost forecasting and KPI predictions.</li><li>Apply advanced time-series and sequential modelling techniques to capture seasonal patterns, macroeconomic dependencies, and trend shifts in financial data.</li><li>Develop simulation engines, including Monte Carlo and stress-testing frameworks, for interactive What-If scenarios.</li><li>Build automated anomaly detection and diagnostic models to identify the root causes of variance between planned, forecasted, and actual financial KPIs.</li><li>Refactor prototype code into clean, scalable production services.</li><li>Deploy and containerize models, orchestrate pipelines, and build monitoring systems to detect feature and model drift.</li><li>Partner with corporate finance teams to translate complex statistical outputs into transparent, interpretable insights and interactive strategic dashboards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Masteru2019s or Ph.D. in Data Science, Computer Science, Statistics, Quantitative Finance, or a highly quantitative field.</li><li>Minimum of 5 years of professional experience as a Data Scientist or Machine Learning Engineer.</li><li>Strong theoretical and practical foundation in supervised and unsupervised learning, probabilistic programming, ensemble methods, and non-linear regression.</li><li>Extensive experience with forecasting frameworks such as Prophet, ARIMA, DeepAR, Temporal Fusion Transformers, or N-BEATS.</li><li>Experience handling sparse, noisy, or irregular financial datasets.</li><li>Proven experience building simulation frameworks, sensitivity analyses, or Bayesian networks for risk and scenario modelling.</li><li>Mastery of Python and its scientific/ML stack, including Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow, or JAX.</li><li>Strong software engineering practices, including Git, unit testing, and APIs.</li><li>Experience scaling computations using distributed frameworks such as Spark or Ray.</li><li>Proficiency in SQL and cloud data warehouses such as Snowflake or BigQuery.</li><li>Experience with MLOps orchestration tools such as Docker, MLflow, Airflow, or Kubernetes.</li><li>Experience applying machine learning directly to financial, economic, or operational planning data is preferred.</li><li>Good understanding of corporate finance principles, including budgeting cycles, driver-based planning, cost allocation, and variance attribution, is preferred.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>On behalf of our client, we are seeking a highly skilled Machine Learning Engineer to join their team in Al Khobar. The role is responsible for designing, developing, and productionizing machine learning algorithms for financial intelligence systems, with a focus on Cost Variance, Cost Forecasting, Scenario and What-If Analysis, and KPI Variance. The position combines advanced quantitative data science with robust software engineering, covering the full lifecycle of predictive models from mathematical formulation and prototyping to scalable production pipelines. The role requires strong expertise in machine learning, statistical modelling, time-series forecasting, Python, and MLOps, with experience in financial, economic, or operational planning data considered highly relevant. Responsibilities: Design, train, and validate advanced machine learning and statistical models for multi-horizon cost forecasting and KPI predictions. Apply advanced time-series and sequential modelling techniques to capture seasonal patterns, macroeconomic dependencies, and trend shifts in financial data. Develop simulation engines, including Monte Carlo and stress-testing frameworks, for interactive What-If scenarios. Build automated anomaly detection and diagnostic models to identify the root causes of variance between planned, forecasted, and actual financial KPIs. Refactor prototype code into clean, scalable production services. Deploy and containerize models, orchestrate pipelines, and build monitoring systems to detect feature and model drift. Partner with corporate finance teams to translate complex statistical outputs into transparent, interpretable insights and interactive strategic dashboards. Requirements Master’s or Ph.D. in Data Science, Computer Science, Statistics, Quantitative Finance, or a highly quantitative field. Minimum of 5 years of professional experience as a Data Scientist or Machine Learning Engineer. Strong theoretical and practical foundation in supervised and unsupervised learning, probabilistic programming, ensemble methods, and non-linear regression. Extensive experience with forecasting frameworks such as Prophet, ARIMA, DeepAR, Temporal Fusion Transformers, or N-BEATS. Experience handling sparse, noisy, or irregular financial datasets. Proven experience building simulation frameworks, sensitivity analyses, or Bayesian networks for risk and scenario modelling. Mastery of Python and its scientific/ML stack, including Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow, or JAX. Strong software engineering practices, including Git, unit testing, and APIs. Experience scaling computations using distributed frameworks such as Spark or Ray. Proficiency in SQL and cloud data warehouses such as Snowflake or BigQuery. Experience with MLOps orchestration tools such as Docker, MLflow, Airflow, or Kubernetes. Experience applying machine learning directly to financial, economic, or operational planning data is preferred. Good understanding of corporate finance principles, including budgeting cycles, driver-based planning, cost allocation, and variance attribution, is preferred.</p> </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>• Experienced in data-mapping between IT systems (e.<br>g CMDB, ERP, Telecomm, APM) and Enterprise Architecture platform (Bizzdesign).<br> • Hands-on experience with API-based systems and direct database integrations via service accounts.<br> • Experienced in developing and maintaining integration pipelines.<br> • Highly skilled in scripting and coding languages relevant to integrations (eg.<br> Python). • Experienced in Middleware Solutions (Apache NiFi, IBM-IIB, SAP-EIC), and worked previously on middleware integration projects.<br> • Experienced log/root cause analysis and troubleshooting to resolve integration issues efficiently.<br> • Excellent communication skills to collaborate with Enterprise Architecture teams and internal stakeholders.<br> • Ability to work in a fast-paced environment and manage multiple tasks priorities.<br> We are seeking a highly skilled and experienced Senior Integration Engineering Specialist with 15+ years of experience in enterprise system integrations, middleware technologies, and data management.<br> The successful candidate will be responsible for designing, developing, implementing, and supporting integrations between multiple enterprise systems and the Enterprise Architecture platform (Bizzdesign).<br> The role requires deep technical expertise in API integrations, database connectivity, middleware solutions, scripting, troubleshooting, and enterprise application landscapes.<br> The candidate must possess excellent communication skills and the ability to collaborate effectively with Enterprise Architecture teams and business stakeholders.<br> Education: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> Master's degree is preferred.<br> Experience: Minimum 15 years of experience in enterprise application integration and middleware technologies.<br> Proven experience integrating enterprise systems with Enterprise Architecture platforms, preferably Bizzdesign.<br> Extensive experience in large-scale enterprise environments.<br> Technical Skills: Strong experience in data mapping and integration between CMDB, ERP, Telecom, APM, and other enterprise systems.<br> Hands-on experience with REST APIs, Web Services, JSON, XML, and related integration technologies.<br> Strong experience with direct database integrations and SQL.<br> Advanced programming and scripting skills, preferably Python.<br> Extensive experience with Middleware integration solutions (Apache NiFi, IBM-IIB, SAP-EIC).<br> Experience with ETL processes and data transformation techniques.<br> Familiarity with cloud integration technologies is an advantage.<br> Soft Skills: Excellent analytical and problem-solving capabilities.<br> Strong troubleshooting and root cause analysis skills.<br> Excellent verbal and written communication skills.<br> Ability to engage effectively with technical and non-technical stakeholders.<br> Strong organizational and time management skills.<br> Ability to manage multiple priorities in a fast-paced environment.<br> Self-motivated with a strong commitment to service quality and continuous improvement.<br> Preferred Certifications: TOGAF Certification.<br> Bizzdesign Certification.<br> IBM Integration Bus Certification.<br> Apache NiFi Certification (if available).<br> Cloud Certifications (Azure, AWS, or Google Cloud).<br> ITIL Foundation Certification.<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>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<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>We are looking for a Senior Data and infrastructure Enginee to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights. If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you. Responsibilties: Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business. Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization. Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing. Support analytical and machine learning workflows by providing reliable and well-structured datasets. Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others). Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards. Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions. Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem. Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</p><p><strong>Desired Candidate Profile</strong></p><p>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field. Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers. Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline. Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization. Experience designing and maintaining data warehouse architectures. Hands-on experience with columnar databases and performance optimization techniques. Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow. Solid programming skills in Python or Java, with a preference for Python. Good understanding of Linux environments and scripting (Bash). Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies. Have experience working s3 compatible open source solution and managed solutions. Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing. Strong communication skills in English.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Senior Data and infrastructure Enginee to join our Data Team and help transform our company into a truly data-driven organization.<br> In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br> If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br> Responsibilties: Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business.<br> Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.<br> Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing.<br> Support analytical and machine learning workflows by providing reliable and well-structured datasets.<br> Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.<br>g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others).<br> Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.<br> Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions.<br> Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem.<br> Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.<br> 4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field.<br> Good hands on experience in one of the major clouds .<br> AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers.<br> Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.<br> Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization.<br> Experience designing and maintaining data warehouse architectures.<br> Hands-on experience with columnar databases and performance optimization techniques.<br> Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.<br> Solid programming skills in Python or Java, with a preference for Python.<br> Good understanding of Linux environments and scripting (Bash).<br> Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.<br> Have experience working s3 compatible open source solution and managed solutions.<br> Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.<br> Strong communication skills in English.<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>We are looking for a Senior Data and infrastructure Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights. If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.</p><p>Responsibilities</p><ul><li>Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business.</li><li>Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.</li><li>Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing.</li><li>Support analytical and machine learning workflows by providing reliable and well-structured datasets.</li><li>Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others).</li><li>Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.</li><li>Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions.</li><li>Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem.</li><li>Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field.</p><p>Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools</p><p>Should be able to deploy applications using docker on bare metal servers.</p><p>Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.</p><p>Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization.</p><p>Experience designing and maintaining data warehouse architectures.</p><p>Hands-on experience with columnar databases and performance optimization techniques.</p><p>Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.</p><p>Solid programming skills in Python or Java, with a preference for Python.</p><p>Good understanding of Linux environments and scripting (Bash).</p><p>Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.</p><p>Have experience working s3 compatible open source solution and managed solutions.</p><p>Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.</p><p>Strong communication skills in English.</p>

Company Name: Mastek Onsite - Ready to travel onsite AMEA – Riyadh Location.<br>Experience Level – 5 to 8 Years Experience in SAP Business Objects (SAP BO) along with Power BI, as the customer has a roadmap to migrate reports from SAP BO to Power BI. Python expertise is also required. Core Banking Experience Must. Dashboard & Report Development — Design, develop, and maintain interactive Power BI dashboards and reports that convert complex data into clear, decision-ready insights. Data Modelling & Transformation — Integrate multiple data sources, build efficient data models, and apply Power Query and DAX to ensure accuracy, consistency, and reporting-readiness. Governance & Security — Implement Row-Level Security, enforce data governance standards, and ensure all reports meet compliance and audit requirements. Performance Optimisation — Monitor and tune report and dataset performance to maintain fast load times, reliable refresh cycles, and a stable analytics environment. Stakeholder Engagement — Collaborate with business units to capture requirements, iterate on designs, and ensure delivered solutions drive real adoption and value. Continuous Improvement — Proactively identify enhancements, retire redundant reports, and keep analytics outputs aligned with evolving business and data platform needs. Platform Administration — Manage Power BI Service workspaces, datasets, gateway configuration, and production deployments to ensure a well-governed analytics environment.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Software Developer position at our market research company offers an exceptional opportunity to be part of a dynamic and innovative team. You will play a crucial role in developing applications that support market analysis and assist in making precise strategic decisions. We are looking for passionate individuals with strong programming skills and the ability to think critically, allowing you to apply your skills in an environment that promotes collaboration and innovation.</p><p>Our company provides a work environment that enhances continuous learning and professional growth. We believe in the importance of skill development, which is why we offer organized training programs and workshops to help you improve your technical capabilities. You will work alongside a diverse team of professionals, providing you with the opportunity to exchange knowledge and experiences, which will help accelerate your career path.</p><p>If you are looking for a place where you can make a real impact and contribute to the success of the company, this position is the ideal choice for you. We believe that every individual can achieve great accomplishments, and we encourage creativity and initiative. Be part of an exciting journey towards excellence in the field of market research.</p><p><b>Responsibilities:</b></p><ol><li>Develop specialized software applications using modern programming languages such as Java and Python, contributing to the overall performance improvement of the systems used in data analysis.</li><li>Analyze client requirements and translate them into effective software solutions, helping to meet market needs quickly and accurately.</li><li>Test software applications to ensure quality and performance, ensuring the delivery of high-quality products to clients.</li><li>Provide technical support to the marketing and sales team, helping them understand the software products and how to use them effectively.</li><li>Participate in meetings with various specialized teams to discuss objectives and directions, contributing to improving collaboration between different teams.</li><li>Update technical documentation related to software applications, making it easier for other teams to understand how to use the systems correctly.</li><li>Analyze data and provide periodic reports on software performance, assisting management in making continuous decisions.</li><li>Provide suggestions to improve software operations, contributing to enhancing efficiency and reducing costs.</li><li>Keep up with the latest trends in information technology and software development, ensuring that the company remains at the forefront of innovation.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in programming languages such as Java, Python, and C++.</li><li>Skills in data analysis and using tools like SQL and Excel.</li><li>Good understanding of software development and project management tools.</li><li>Ability to work within a team and collaborate with various specialized teams.</li><li>Problem-solving skills and critical thinking.</li><li>Familiarity with software testing methodologies and quality assurance.</li><li>Effective communication skills with colleagues and clients.</li></ul></div>

TMC Middle East is currently engaged in a project with one of our prestigious customers in KSA. We are seeking a highly capable Business Data Analyst (Arabic) expert to help TMC to deliver this assignment.<br>About the Role:Position: Data Analyst Location: Remote Experience: 5+ Years Preferred: Arabic Speakers only<br>Qualifications:<br>Fluency in Arabic (spoken and written) is a must-have for this role. Minimum 5+ years of experience in a data analyst or business intelligence role. Hands-on experience building data preparation workflows in Alteryx. Proficiency in Python for data analysis (e.g. pandas, Num Py). Experience working with Google Cloud Platform, particularly Big Query. Strong SQL skills for querying and aggregating data. Experience creating dashboards and reports (e.g., Power BI, or Tableau). Strong analytical thinking and attention to detail. Ability to communicate insights clearly to both technical and non-technical audiences.<br>Preferred Qualifications Alteryx Designer certification. Experience with statistical analysis or basic predictive modelling. Familiarity with version control (Git) and collaborative analytics workflows. Relevant degree in a quantitative or business-related field.<br><br>Please share your CV with the title of Data Analyst Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com

TMC Middle East is currently engaged in a project with one of our prestigious customers in KSA. We are seeking a highly capable Business Data Analyst (Arabic) expert to help TMC to deliver this assignment.<br>About the Role:Position: Data Analyst Location: Remote Experience: 5+ Years Preferred: Arabic Speakers only<br>Qualifications:<br>Fluency in Arabic (spoken and written) is a must-have for this role. Minimum 5+ years of experience in a data analyst or business intelligence role. Hands-on experience building data preparation workflows in Alteryx. Proficiency in Python for data analysis (e.g. pandas, Num Py). Experience working with Google Cloud Platform, particularly Big Query. Strong SQL skills for querying and aggregating data. Experience creating dashboards and reports (e.g., Power BI, or Tableau). Strong analytical thinking and attention to detail. Ability to communicate insights clearly to both technical and non-technical audiences.<br>Preferred Qualifications Alteryx Designer certification. Experience with statistical analysis or basic predictive modelling. Familiarity with version control (Git) and collaborative analytics workflows. Relevant degree in a quantitative or business-related field.<br><br>Please share your CV with the title of Data Analyst Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights. If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you. Responsibilities: Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business. Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization. Develop and optimize ETL/ELT pipelines for batch and near real-time data processing. Support analytical and machine learning workflows by providing reliable and well-structured datasets. Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, BigQuery, Google Ads, Adjust, PostgreSQL, MySQL, and others). Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards. Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability. Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem. Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>2+ years of professional experience in Data Engineering, Data Warehousing, or a related field. Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline. Strong expertise in SQL and relational database concepts, including data modeling and query optimization. Experience designing and maintaining data warehouse architectures. Hands-on experience with columnar databases and performance optimization techniques. Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow. Solid programming skills in Python or Java, with a preference for Python. Good understanding of Linux environments and scripting (Bash). Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies. Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing. Strong communication skills in English. What Makes You Successful You are a proactive problem solver who enjoys tackling complex technical challenges. You have a strong attention to detail and a passion for building reliable, high-quality data solutions. You take ownership of your work and can operate independently when needed. You are collaborative, curious, and enjoy sharing knowledge with others. You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Summary</b> We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.</p><p>Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data. Build and optimize data workflows using Apache Spark and Apache Airflow. Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements. Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data. Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions. Ensure data quality, governance, security, and regulatory compliance across data platforms. Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks. Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure. Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability. Support regulatory reporting, audit requirements, and data lineage initiatives. Mentor junior engineers and contribute to technical architecture and best practices.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Required Qualifications</b></p><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</p><p>4+ years of hands-on experience in Data Engineering.</p><p>Strong programming skills in Python and advanced SQL.</p><p>Experience with Apache Spark for large-scale data processing.</p><p>Experience with Apache Airflow for workflow orchestration and scheduling.</p><p>Solid understanding of Data Warehouse and Data Lake architectures.</p><p>Proven experience building and maintaining ETL/ELT pipelines.</p><p>Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</p><p>Strong knowledge of data modeling techniques and performance optimization strategies.</p><p>Experience implementing CI/CD pipelines and DataOps methodologies.</p><p>Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</p><p>Excellent problem-solving, analytical, and communication skills.</p><b>Preferred Qualifications</b><p>Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</p><p>Knowledge of financial data governance, security, and compliance standards.</p><p>Experience with real-time and batch data processing in highly regulated environments.</p><p>Familiarity with containerization technologies such as Docker and Kubernetes.</p><p>Experience with data lineage, metadata management, and data quality frameworks.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain.<br> The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems.<br> You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.<br> Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.<br> Build and optimize data workflows using Apache Spark and Apache Airflow.<br> Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.<br> Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.<br> Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.<br> Ensure data quality, governance, security, and regulatory compliance across data platforms.<br> Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.<br> Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.<br> Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.<br> Support regulatory reporting, audit requirements, and data lineage initiatives.<br> Mentor junior engineers and contribute to technical architecture and best practices.<br> Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.<br> 4+ years of hands-on experience in Data Engineering.<br> Strong programming skills in Python and advanced SQL.<br> Experience with Apache Spark for large-scale data processing.<br> Experience with Apache Airflow for workflow orchestration and scheduling.<br> Solid understanding of Data Warehouse and Data Lake architectures.<br> Proven experience building and maintaining ETL/ELT pipelines.<br> Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.<br> Strong knowledge of data modeling techniques and performance optimization strategies.<br> Experience implementing CI/CD pipelines and DataOps methodologies.<br> Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.<br> Excellent problem-solving, analytical, and communication skills.<br> Preferred Qualifications Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.<br> Knowledge of financial data governance, security, and compliance standards.<br> Experience with real-time and batch data processing in highly regulated environments.<br> Familiarity with containerization technologies such as Docker and Kubernetes.<br> Experience with data lineage, metadata management, and data quality frameworks.<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>We are looking for a motivated professional to join our team and take ownership of Supplier engagements with Retailers, eCommerce players and Vendor for Onboarding and BAU which includes Data compliance and improvements . In this role, you will work closely with suppliers, data governance, and project managers to strengthen relationships, improve data quality, and ensure service levels are met. You will be responsible for managing a portfolio of countries and retailers, driving measurable improvements in how we receive and use data. This is a great opportunity for someone who enjoys working at the intersection of data, operations, and supplier engagement , and who wants to make a direct impact on business outcomes.</p><p><b><br></b></p><p><b>Responsibilities :</b></p><ul><li>Monitor and report key performance indicators (KPIs), ensuring data receipt aligns with service level agreements (SLAs).</li><li>Partner with data analysts to review KPIs and lead conversations with suppliers to drive improvements.</li><li>Analyze data quality metrics and collaborate with suppliers to enhance accuracy and consistency.</li><li>Identify new opportunities to improve retailer data quality and work with the operations strategy team to bring these opportunities to life.</li><li>Build and maintain strong relationships with suppliers, acting as their main point of contact.</li><li>Support onboarding activities, including data quality testing, format alignment, and timeliness expectations.</li><li>Coordinate with local operations teams and project managers to finalize onboarding plans for new suppliers.</li><li>Handle escalations and queries from retailers, ensuring timely resolution and clear communication.</li><li>Contribute to system improvements, including SAP, transactional data handling, FTP/MFT setup, and retailer system changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong technical knowledge with the ability to interpret and apply data in a business context.</li><li>Excellent analytical, Presentation and problem solving skills.</li><li>Proficiency in Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).</li><li>Tech savvy, with exposure to different data and file formats.</li><li>Ability to understand and interpret diverse data structures and mapping.</li><li>Knowledge in Python, SQL is an added advantage.</li><li>Fluent in English, with strong communication skills and knowing Arabic is an advantage</li></ul>

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

Job Overview:We are seeking a skilled Dev Sec Ops / Sovereign Cloud Engineer with 5-15 years of experience to design, operate, and secure regulated cloud environments across AWS and GCP. The role combines cloud operations, security engineering, and SRE practices, including Kubernetes management, Infrastructure as Code (Terraform), CI/CD automation (Git/Git Lab), and secrets management (Hashi Corp Vault). The ideal candidate will drive security incident response, platform reliability, observability (Datadog), and 24x7 incident management (Pager Duty), while embedding security-by-design principles, automation-first practices, and continuous improvement into sovereign cloud platforms. Strong expertise in cloud security, networking fundamentals, compliance-driven environments, and cross-functional incident leadership is essential.<br>Key Responsibilities:Deploy, manage and maintain the organization’s Sovereign Cloud strategy, ensuring compliance with regulatory and data residency requirements on AWS/GCP public cloud. Managing and operating Kubernetes clusters including upgrades, scaling, and workload optimization. Security Incident Response & Risk Mitigation – Investigate, analyze, and remediate cloud security incidents, proactively identifying and mitigating vulnerabilities within AWS environments. Secure Cloud Strategy & Continuous Improvement – Support and enhance the organization’s AWS cloud strategy by embedding security best practices and continuously improving the cloud security posture. Security Automation & Dev Sec Ops Enablement – Implement and tune security tools, automate policy-driven responses, and advocate Dev Sec Ops practices to ensure secure-by-design cloud operations. Implementing and managing Infrastructure as Code (Terraform) to provision, modify, and secure cloud resources. Maintaining and optimizing CI/CD pipelines using Git/Git Lab, ensuring secure and automated deployments. Managing secrets and secure access using Hashi Corp Vault, including token lifecycle, access policies, and secrets rotation. Troubleshooting complex infrastructure, networking, container, and performance issues across distributed systems. Observability & Reliability Engineering – Monitor system health and performance using Datadog, define and manage SLIs/SLOs, and drive continuous reliability improvements aligned with SRE principles. Incident Management & Operational Governance – Manage 24x7 alerting and incident response through Pager Duty, perform root cause analysis (RCA), and actively contribute to incident, problem, and change management processes. Cloud Security & Performance Optimization – Conduct proactive system hardening, vulnerability remediation, performance tuning, and capacity planning across cloud environments. Automation & Continuous Improvement – Develop automation using Python/Bash/Terraform/Ansible to reduce manual effort, improve operational efficiency, and strengthen platform resilience.<br>Knowledge, Skills and Experience:To succeed in this role, you must have:5–15 years of hands-on experience in Dev Sec Ops, SRE roles. Proven hands-on expertise managing Kubernetes clusters Experience with Terraform (IaC) Deployment, Git/Gitlab for CI/CD and version control for best practices Experience working with Hashi Corp Vault, Terraform, Datadog, Pagerduty, Confluence etc Strong understanding of Cloud Security principles (IAM, encryption, network security, container security, vulnerability management). Experience in incident management, change management, and root cause analysis processes. SRE & Automation Expertise – Strong understanding of SRE principles (SLIs, SLOs, error budgets, reliability metrics) with hands-on scripting experience in Python and/or Bash to drive automation-first practices. Networking & Compliance Knowledge – Solid grasp of networking fundamentals (TCP/IP, DNS, load balancing, firewalls, VPNs, private endpoints) with experience or exposure to regulated and compliance-driven environments. Leads incident bridges during P1/P2 outages, coordinating cross-functional teams and driving timely resolution with clear RCA. Maintains a strong customer and business-focused mindset while prioritizing tasks. Cloud certifications in a plus.<br>Also, You can forward your CV through below link for more upcoming Job vacancies:https://cv-fnrco.com