sales engineer

data analyst

data scientist

ai engineer

devops engineer

big 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

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

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Contractor
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and manage data pipelines to support complex AI agent training initiatives.
  </li>
  <li>
   Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
  </li>
  <li>
   Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
  </li>
  <li>
   Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
  </li>
  <li>
   Contribute to the optimization of AI models through effective data engineering practices.
  </li>
  <li>
   Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
  </li>
  <li>
   Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
  </li>
  <li>
   Strong understanding of AI concepts and experience in training AI agents.
  </li>
  <li>
   Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
  </li>
  <li>
   Experience implementing robust data pipelines and scalable architecture for machine learning projects.
  </li>
  <li>
   Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in a related field.
  </li>
  <li>
   Direct experience with AI agent frameworks and real-world deployment projects.
  </li>
  <li>
   Previous work in fast-paced startup or innovation-driven environments.
  </li>
 </ul>
</div>


Data Engineer - Remote

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

Devoteam

<div><b>Company Description</b><p><b><br>
Tech for People Unlocks the Future</b></p><p>
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.<br>
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.</p><p><b>
Devoteam Culture &amp; Values:</b><br>
True innovation is born from a powerful culture, fused with meaningful values.</p><p><b>
Culture:</b></p><p><b>
Fair and courageous</b><br>
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.<br>
<br>
<b>Ambition and results</b><br>
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.<br>
<br>
<b>Learning and innovating</b><br>
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.<br>
<br>
<b>Caring and sharing</b><br>
A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br>
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,</p><p><b>
Values:</b></p><p>
1. Respect<br>
2. Frankness<br>
3. Passion</p><b><br>
Job Description</b><p><br>
A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.<br>
They identify and resolve data anomalies through profiling, cleansing, and validation workflows.<br>
The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.</p><p><b>
Key Responsibilities:</b></p><ul><li>Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.</li><li>Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.</li><li>Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.</li><li>Develop automated data quality checks and workflows for continuous monitoring and remediation.</li><li>Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.</li><li>Document data quality rules, issue logs, and remediation actions as part of the data governance framework.</li><li>Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.</li><li>Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.</li><li>Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.</li><li>Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.</li><li>Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.</li><li>Conduct root cause analysis and lead remediation programs for chronic data issues.</li><li>Mentor junior engineers and promote data quality best practices across teams.</li><li>Participate in compliance with the local data management regulations (e.g. NDMO, NDI).</li><li>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.</li><li>Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.</li><li>Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.</li></ul><b><br>
Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.</li><li>
5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.</li><li>
Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).</li><li>
Strong expertise in data profiling, rule design, standardization, and exception management.</li><li>
Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.</li><li>
Deep understanding of data governance frameworks and collaboration with data stewards.</li><li>
Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.</li><li>
Strong communication skills for presenting findings and recommendations to business stakeholders.</li><li>
Experience mentoring junior engineers or managing small DQ workstreams.</li><li>
CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate</li><li>
Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).</li><li>
Understanding of data lineage, root cause analysis, and impact assessment.</li><li>
Knowledge of metadata management and integration with data catalogs.</li><li>
Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).</li><li>
Ability to automate DQ workflows through orchestration or CI/CD pipelines.</li></ul><br>
<b>
Additional Information</b><p><b><br>
Business Unit: Data &amp; Intelligence</b></p><p><b>
Level: Mid - Senior Level</b></p></div>

Envision Employment Solutions

<div><p><b>Envision Employment Solutions</b> is currently looking for a <b>Data Engineer (Saudi National) </b>for one of our partners, a global leader in the IT Services and IT Consulting.</p><p></p><p><b>
Job Summary:</b></p><p>
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.</p><b><br>
Requirements</b><br>
<ul><li>
Bachelor's degree in Computer Science, Data Science, or related fields</li><li>
Proficiency in Data Engineering and Data Modeling</li><li>
Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li><li>
Strong skills in Data Analytics and working with large-scale datasets</li><li>
Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li><li>
Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li><li>
Strong problem-solving abilities and attention to detail</li></ul></div>

Data Engineer (Saudi National)

<div><p>This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
</p><p></p><ul><li>Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.
</li><li>Implement feature engineering, model selection, tuning, and evaluation techniques.
</li><li>Develop , and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).
</li><li>Monitor model performance, data drift, and model decay; retrain models as needed.
</li><li>Ensure models meet reliability, scalability, and security standards.
</li><li>Work closely with Data Scientists, Product Managers, and Software Engineers.
</li><li>Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.
</li><li>Optimize models for latency, throughput, and cost.
</li><li>Implement experimentation frameworks (A/B testing, offline evaluation).
</li><li>Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
3&ndash;7+ years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).
</li><li>Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
</li><li>Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
</li><li>Experience deploying models using Docker, Kubernetes, or cloud ML services.
</li><li>Strong knowledge of data structures, algorithms, and software engineering principles.
</li><li>Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
</li><li>Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
</li><li>Experience with big data technologies (Spark, Kafka, Databricks).
</li><li>Background in NLP, Computer Vision, or Generative AI.
</li><li>Strong problem-solving and analytical thinking
</li><li>Production-first mindset
</li><li>Data-driven decision making
</li><li>High Collaboration and communication skills</li></ul></div>

AI Engineer

Explore 1297+ Big data engineer in Riyadh this May. Find roles across top companies and apply now to boost your career.

1297 big data engineer jobs In Riyadh

Data Engineer

Cloudera Engineer

Data Engineer - Remote

Junior Data Engineer

Data Engineer

Data Engineer (Saudi National)

AI Engineer