business analyst

project engineer

data analyst

data scientist

ai developer

data engineer

MASTER-WORKS

<div><p>Master-Works is seeking a highly skilled Data Engineer to join our team. The ideal candidate will develop, construct, test, and maintain data architectures such as databases and large-scale processing systems. You will be responsible for building data pipelines, ensuring data integrity, and enabling data accessibility to support our business analytics and decision-making processes.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, and maintain efficient and scalable data pipelines and architectures.</li><li>
Develop ETL processes to collect, clean, and process data from various sources.</li><li>
Collaborate with data scientists, analysts, and stakeholders to meet data requirements.</li><li>
Optimize data pipeline performance and troubleshoot data issues as they arise.</li><li>
Ensure data security and compliance with organizational policies.</li><li>
Document data engineering processes and workflows.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor's degree in Computer Science, Engineering, or related field.</li><li>
Minimum 3 years of experience in data engineering or related roles.</li><li>
Proficiency in programming languages such as Python, Java, or Scala.</li><li>
Experience with SQL and NoSQL databases.</li><li>
Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, etc.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work collaboratively in a team-oriented environment.</li></ul></div>

Data Engineer

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
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 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
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 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
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  Devoteam Culture &amp; Values:
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 True innovation is born from a powerful culture, fused with meaningful values.
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  Culture:
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  Fair and courageous
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 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
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  Ambition and results
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 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
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  Learning and innovating
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 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
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  Caring and sharing
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 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
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 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
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  Values:
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   Respect
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   Frankness
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   Passion
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  Job Description
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 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
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 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
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 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
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  Key Responsibilities:
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   Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
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   Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
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   Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
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   Develop automated data quality checks and workflows for continuous monitoring and remediation.
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   Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
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   Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
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   Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
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   Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
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   Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
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   Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
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   Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
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   Conduct root cause analysis and lead remediation programs for chronic data issues.
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   Mentor junior engineers and promote data quality best practices across teams.
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   Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
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   Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
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   Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
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   Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
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  </li>
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  Qualifications
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   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
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   5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
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   Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
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   Strong expertise in data profiling, rule design, standardization, and exception management.
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   Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
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   Deep understanding of data governance frameworks and collaboration with data stewards.
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   Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
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   Strong communication skills for presenting findings and recommendations to business stakeholders.
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   Experience mentoring junior engineers or managing small DQ workstreams.
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   CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
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   Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
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   Understanding of data lineage, root cause analysis, and impact assessment.
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   Knowledge of metadata management and integration with data catalogs.
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   Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
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   Ability to automate DQ workflows through orchestration or CI/CD pipelines.
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  Additional Information
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  Business Unit: Data &amp; Intelligence
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  Level: Mid - Senior Level
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Hudhud Maps

<div><p><b>Position: Junior Data Engineer</b></p>
<p><b>Location:</b> Riyadh, Saudi Arabia (Hybrid)<br>
<b>Experience:</b> 1&ndash;2 years</p>
<h3 class="jobSectionHeader"><b>About Hudhud Maps</b></h3>
<p>We are building the next-generation local maps for Saudi and the Middle East, leveraging data &amp; AI and we currently have different projects to build the most valuable point of interest and street network database in the region, leveraging hundreds of terabytes of captured street view data and satellite images for hundreds of thousands of KMs of roads and other datasets captured from third-party and governmental partners.</p>
<h3 class="jobSectionHeader"><b>Role Overview</b></h3>
<p>As a Junior Data Engineer, you will support the design, development, and maintenance of scalable data pipelines and systems. You'll work closely with senior engineers and data scientists to ensure reliable data flow across our platforms, contributing to Hudhud Maps' mission of delivering high-quality geospatial insights.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Develop, monitor, and optimize ETL workflows using <b>Apache Airflow</b>.</li>
<li>Build and maintain data pipelines leveraging <b>Python</b> and <b>Apache Spark</b>.</li>
<li>Manage and query structured data in <b>PostgreSQL databases</b>.</li>
<li>Support the integration and organization of large datasets in <b>Data Lakes</b>.</li>
<li>Collaborate on cloud-based data solutions (AWS, GCP, or Azure).</li>
<li>Ensure data quality, reliability, and security across systems.</li>
<li>Document processes and contribute to continuous improvement initiatives.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3>
<ul><li>Bachelor's degree in computer science, Engineering, or related field.</li>
<li><b>1&ndash;2 years of experience</b> in data engineering or related roles.</li>
<li>Proficiency in <b>Python</b> for data workflows.</li>
<li>Hands-on experience with <b>Airflow</b>, <b>Spark</b>, and <b>Postgres DB</b>.</li>
<li>Familiarity with <b>Data Lake architectures</b> and <b>cloud platforms</b>.</li>
<li>Strong problem-solving skills and eagerness to learn.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualities</b></h3>
<ul><li>Exposure to geospatial or mapping data projects.</li>
<li>Interest in scalable data systems and emerging technologies.</li>
<li>Collaborative mindset with good communication skills.</li>
</ul><h3 class="jobSectionHeader"><b>Why Join Us</b></h3>
<ul><li>Opportunity to work on impactful geospatial data projects.</li>
<li>Hybrid work flexibility in Riyadh.</li>
<li>Growth-oriented environment with mentorship from senior engineers.</li></ul></div>

Junior Data Engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a detail-oriented and analytical <b>Data Analytics Engineer</b> with <b>3+ years of experience</b> in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in <b>Power BI</b>, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Develop, maintain, and optimize <b>interactive dashboards and reports in Power BI</b>.<br>
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights.<br>
</li><li>
Design and implement <b>data models, DAX measures, and calculated fields</b> in Power BI.<br>
</li><li>
Create <b>ETL / data transformation workflows</b> using Power Query and SQL.<br>
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards.<br>
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems.<br>
</li><li>
Monitor report performance and improve dashboard usability and visualization standards.<br>
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports.<br>
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
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<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>Data Analytics / BI Engineering / Reporting</b><br>
</li><li>
Strong expertise in <b>Power BI (Dashboards, DAX, Power Query, Data Modeling)</b><br>
</li><li>
Good experience in <b>SQL queries, joins, stored procedures, and data extraction</b><br>
</li><li>
Knowledge of <b>Excel (advanced formulas, pivot tables, data analysis)</b><br>
</li><li>
Understanding of <b>ETL processes and data warehousing concepts</b><br>
</li><li>
Strong analytical and problem-solving skills<br>
</li><li>
Good communication and stakeholder management skills</li></ul><p><b><br>
Preferred Skills:</b></p><br>
<ul><li>
Experience with <b>Python / Excel VBA / Tableau</b> is an added advantage<br>
</li><li>
Exposure to <b>Azure / cloud-based data platforms</b> preferred<br>
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div><p></p>

Data Analytics Engineer

IQVIA

<div>Riyadh, Saudi Arabia | Full time | Hybrid | R1522167</div>
<br><div><h3 class="jobSectionHeader"><b>About the Role</b></h3><div>
We are seeking a highly skilled <b>Cloudera Engineer</b> to join our Big Data team. In this role, you will design, build, and manage Hadoop clusters using Cloudera technologies, ensuring optimal performance, scalability, and security. You will collaborate with cross-functional teams to deliver robust big data solutions that power critical business insights.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Build and configure new clusters and projects involving Cloudera (CDH) technologies.</li><li>
Manage storage, performance tuning, and volume management for Hadoop clusters.</li><li>
Troubleshoot and resolve application and cluster issues, escalating when necessary.</li><li>
Handle cluster design, capacity planning, performance optimization, monitoring, and scaling.</li><li>
Perform standard system administration tasks, including user management, permissions, and upgrades.</li><li>
Monitor and resolve day-to-day cluster issues, ensuring SLA compliance.</li><li>
Support users with administrative needs and optimize job performance.</li><li>
Perform SQL queries and performance tuning across all levels.</li><li>
Collaborate with cross-functional teams to set up production environments and enable business solutions.</li><li>
Develop scripts to automate reporting and maintenance activities.</li><li>
Implement backup and recovery strategies using Cloudera Replication Manager.</li><li>
Address live performance and stability issues and prevent recurrence.</li><li>
Support data engineering efforts, ETL pipelines, and data science teams using Python and Scala.</li></ul><h3 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h3><ul><li>
Proven experience in Hadoop administration and Cloudera (CDH) technologies.</li><li>
Strong knowledge of cluster design, performance tuning, and troubleshooting.</li><li>
Proficiency in SQL and scripting for automation.</li><li>
Familiarity with backup/recovery strategies and operational best practices.</li><li>
Ability to support data engineering and data science teams.</li><li>
Strong problem-solving skills and ability to work under pressure.</li></ul><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><ul><li>
Work on cutting-edge big data technologies in a collaborative environment.</li><li>
Opportunity to influence architecture and performance strategies.</li><li>
Be part of a team that values innovation, efficiency, and continuous improvement.</li></ul><div>
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com</div><div>
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.</div></div>

Cloudera Engineer

DeepSource Technologies

<div><p>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.</p><p></p><p>
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.</p><p></p><p>
Key Responsibilities</p><ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function.<br>
</li></ul><br>
<br>
<p></p><b>Requirements</b><ul><li><br>
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div><p></p>

AI Architect - Riyadh,KSA

Muller's Solutions

<div><p>M&uuml;ller's Solutions is looking for a skilled Aveva PI Software Engineer to join our technology team. In this role, you will be responsible for the design, development, and maintenance of Aveva PI systems to support the organization's operational and business objectives. You will work closely with cross-functional teams to ensure reliable data management and real-time analytics using the Aveva PI platform.</p><p></p><p><b>
Key Responsibilities:</b></p><ul>
<li>Develop, configure, and maintain Aveva PI System infrastructure, including PI Data Archive, PI Asset Framework, and PI Interfaces.</li>
<li>Implement and support data collection from various sources to ensure accurate and timely data capture.</li>
<li>Collaborate with engineering, operations, and IT teams to integrate Aveva PI solutions with existing systems.</li>
<li>Monitor system performance and troubleshoot issues to ensure high availability and reliability.</li>
<li>Design and create analytical dashboards and reports to support decision-making.</li>
<li>Provide user training and technical support for Aveva PI applications.</li>
<li>Stay current with the latest developments in Aveva PI technology and recommend system improvements.</li><br>
</ul><br>
<br>
<b>Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>Proven experience working with Aveva PI System components (PI Data Archive, Asset Framework, Interfaces).</li>
<li>Strong knowledge of data collection, storage, and real-time data analytics.</li>
<li>Experience with scripting languages (e.g., Python, PowerShell) for automation and integration tasks.</li>
<li>Familiarity with databases and SQL for data querying and management.</li>
<li>Good problem-solving skills and attention to detail.</li>
<li>Ability to work effectively in a team-oriented environment.</li>
<li>Strong communication skills to liaise with stakeholders and users.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
Why Join Us:</p><p></p><p>
Opportunity to work with a talented and passionate team.</p><p>
Competitive salary and benefits package.</p><p>
Exciting projects and innovative work environment.</p></div>

Aveva PI Software Engineer

Explore 992+ Data engineer in Riyadh this May. Find roles across top companies and apply now to boost your career.

992 data engineer jobs In Riyadh

Data Engineer

Data Engineer

Junior Data Engineer

Data Analytics Engineer

Cloudera Engineer

AI Architect - Riyadh,KSA

Aveva PI Software Engineer