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data engineer

Capgemini - Zcomme

The Role
<br>We are seeking a skilled and detail-oriented Data Engineer to join our team and support a transformative Generative AI (GenAI) initiative. In this role, you will be responsible for designing, developing, and maintaining the data infrastructure that powers advanced AI models. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient data workflows, reliable pipelines, and scalable systems that enable high-performance AI applications. Requirements: • Proficiency in Python is a must and other programming languages relevant to data engineering, such as Scala, or Java, and familiarity with Big Data processing frameworks (e.g., Apache Spark, Hadoop). • Build and maintain data lakes, warehouses, and feature stores optimized for GenAI workloads. • Experience with relational SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, and Cassandra. • Knowledge of data modeling, ETL (Extract, Transform, Load) processes, and data warehousing solutions. • Understanding of machine learning model requirements in terms of data preparation, feature engineering, and data augmentation. • Skills in implementing data pipelines and workflows using tools like Apache Airflow, Luigi, or similar technologies. • Understanding of big data technologies and practices, including data lakes, data streams, and real-time data processing. • Demonstrated ability to design and implement effective data architecture that supports large-scale, high-performance data processing. • Ability to work closely with data scientists, machine learning engineers, and software developers to understand data needs and deliver solutions that support AI model development. • Eagerness to explore new tools and technologies that can enhance the data infrastructure and support the evolving needs of generative AI product development. • Experience with version control systems (e.g., Git) and collaboration tools (e.g., GitLab) for managing codebases and documentation.
<br><br>
Requirements
<br><b>Skills & Experience:</b> • Proven experience in data engineering, preferably in AI/ML or GenAI environments. • Strong technical background in AI technologies, including machine learning, natural language processing, and deep learning. • Knowledge of MLOps tools and practices (e.g., MLflow, DVC). • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Strong problem-solving skills and a creative approach to developing innovative solutions. • Strong ability to work collaboratively with cross-functional teams. • Agile methodology experience is preferred. • Bachelor degree in computer science, Data Science, Information Technology, or a related field with a strong emphasis on data engineering, database design, or big data technologies.
<br><br>
About the company
<br>Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.

Data Engineer

HungerStation | هنقرستيشن

<div>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collect and process data from various sources.
  </li>
  <li>
   Analyze trends and patterns to inform marketing and operational strategies.
  </li>
  <li>
   Create reports and visualizations to present findings to stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to identify data needs and solutions.
  </li>
  <li>
   Ensure data accuracy and integrity throughout the analysis process.
  </li>
 </ul>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in data analysis tools (e.g., SQL, Excel, Python, or R).
  </li>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Experience with data visualization software (e.g., Tableau, Power BI).
  </li>
  <li>
   Ability to communicate complex data insights clearly to non-technical audiences.
  </li>
  <li>
   Knowledge of statistical methods and data modeling techniques.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a relevant field (e.g., Data Science, Statistics, Business).
  </li>
  <li>
   Previous experience in data analysis or a related role is often preferred.
  </li>
 </ul>
 <p>
 </p>
</div>


SALLA

<div><p>We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.</p><p>
Key Responsibilities</p><ul><li>Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.</li><li>Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.</li><li>Develop and maintain solutions for streaming and serverless data processing.</li><li>Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.</li><li>Ensure data quality, reliability, and performance across the platform.</li><li>Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.</li><li>Mentor junior engineers and contribute to the continuous improvement of engineering practices.</li><li>Strong problem-solving skills and the ability to thrive in a fast-paced environment.
</li><li>Excellent communication and teamwork skills.
</li></ul><p></p><p><b>Requirements</b></p><p></p><ul><li>
5+ years of experience in Data Engineering or related fields.
</li></ul><ul><li>Strong expertise in ClickHouse (schema design, ingestion optimization, query performance tuning, and cluster management).
</li><li>Proven experience with real-time data processing using Apache Kafka, Flink, or Spark Streaming.
</li><li>Deep understanding of distributed systems architecture with emphasis on scalability, reliability, and fault tolerance.
</li><li>Proficiency in one or more programming languages:
</li></ul><p><b>Python</b>: Building data pipelines, automation scripts, and integrations.
</p><p><b>Go</b>: Developing high-performance data services or tools.
</p><p><b>TypeScript</b>: Contributing to data-related front-end or service-side applications.
</p><p><b>Bash/Shell scripting:</b> Writing automation scripts for data operations.
</p><p><b>Rust (Good to have):</b> Interest or experience in building memory-safe, high-performance systems.
</p><ul><li>Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
</li><li>Familiarity with containerization and orchestration tools (Docker, Kubernetes).</li></ul></div><p></p>

Senior Data Engineer

Denodo

<p></p><div><div><div><div><div><b>Job Category: </b>Product &amp; Solutions
</div></div></div></div><div><div><div><div><div>Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self- service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo&rsquo;s large enterprise and mid-market customers across 30+ industries have received payback in less than 6 months. For more information, visit www.denodo.com.</div>
<div>We are a fast-growing, international organization with teams across four continents and we work with a cutting-edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way</div>
<div><div><div><div><b>
Job Description</b></div>
</div><div><div>
Are you looking to kick-start your career within an international software product company? Then our Data Engineer role for fresh graduates will be a fantastic opportunity for you.</div>
<div>Denodo is a fantastic place to begin your career. We are the leader in Data Virtualization and we are embracing a culture that puts people first, where everyone has the opportunity to own their career and make a contribution towards the modern change, and is given the space to grow personally and professionally.</div>
<div>At Denodo we focus on attracting, retaining and developing people who are committed to doing their best and deliver on their promises. We are looking for people who value different perspectives, who build sustainable relationships and who dare to shape the future and want to make a difference.</div>
<div>Your career with us will combine cutting edge technology, exposure to worldwide clients across all industries (Financial Services, Automotive, Insurance, Pharma, etc.), exciting growth paths and direct mentorship.</div>
<div>Your mission will be to help and assist our clients and partners to realize their full potential through accelerated adoption and productive use of Denodo&rsquo;s Data Virtualization capability to provide modern solutions for agile data delivery to empower people.</div>
</div></div><div><div><div><b>
Job Responsibilities &amp; Duties</b></div>
</div><div><ul><li>Education, coaching and support during the introduction as well as ongoing projects of the Denodo Platform to achieve high level of client satisfaction.</li>
<li>Diagnose and resolve client&rsquo;s inquiries related to operating Denodo software products in their environment.</li>
<li>Participate in problem escalation and call prevention projects to help clients and other technical specialists increase their efficiency when using Denodo products.</li>
<li>Contribute to knowledge management activities and promote best practices for project execution.</li>
<li>Implement product demos and pilots to showcase Data Virtualization in enterprise scenarios, cloud deployments and Big Data projects.</li>
<li>Provide timely, prioritized and complete customer-based feedback to Product Management, Sales, Support and/or Development regarding client&rsquo;s business cases, requirements and issues.</li>
</ul></div></div><div><div><div><b>Desired Skills &amp; Experience</b></div>
</div><div><div><b>
Required Skills</b></div>
<ul><li>Experience Range: Open to Fresh Graduates (must be top-ranked and exceptionally qualified)</li>
<li>University Degree relating to information systems or computer science (Bachelor or Master)</li>
<li>Understanding of Data Integration flavours</li>
<li>Solid understanding of SQL and good grasp of relational and analytical database management theory and practice.</li>
<li>Good knowledge of software development and architectural patterns.</li>
<li>Technical skills include Java development, JDBC, XML, Web Service related APIs, experience with version control systems (e.g. SVN, git).</li>
<li>Experience in Windows &amp; Linux (and UNIX) operating systems in server environments.</li>
<li>Personal and Relationship qualities: Professional curiosity and the ability to enable yourself in new technologies and tasks. Active listener. Curiosity and continuous learning. Creativity. Team worker.</li>
<li>Communications: Good written/verbal communication skills in English (other international languages a plus) are essential for interaction with clients, making presentations, attending meetings and writing technical documentation.</li>
<li>Willingness to travel.</li>
</ul>
<div><b>Non-mandatory Skills ( Nice to have)</b></div>
<ul><li>Basic experience in Big Data, NoSQL, and InMemory environments is welcome.</li>
<li>Basic experience in cloud environments (AWS, Azure, GCP...) is welcome.</li>
<li>Foreign language skills are a plus.</li>
</ul>
</div></div></div><div><i>Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law.</i></div>
<div><i>We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee.</i></div></div></div></div></div></div><p></p>

Associate Data Engineer

Jawraa

<p>We are looking for a highly experienced <b>Senior Data Engineer</b> to lead the design, development, and optimization of advanced data engineering and integration solutions. The ideal candidate will have strong expertise in multicloud environments, large-scale data workflows, and modern data architecture practices.</p><p><b>Responsibilities:</b></p><ul><li>Lead the creation and execution of a forward-thinking data engineering and integration strategy aligned with organizational goals.</li><li>Develop and maintain advanced, scalable data engineering frameworks and pipelines.</li><li>Integrate diverse data sources to ensure high levels of data quality, availability, and accessibility.</li><li>Build sophisticated data models, transformation processes, and storage mechanisms to support analytics across multiple departments.</li><li>Collaborate closely with cross-functional stakeholders to understand data needs, prioritize initiatives, and deliver actionable insights.</li><li>Establish and enforce data engineering best practices, standards, and governance procedures.</li><li>Continuously evaluate emerging technologies and recommend solutions that enhance data integration and architecture.</li><li>Ensure data quality, data governance, and compliance with policies such as PDPL and GDPR.</li><li>Solve complex technical challenges with agility and efficiency in fast-paced environments.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, IT, or related field.</li><li><b>8+ years of solid experience</b> in data engineering, preferably in multicloud architectures.</li><li>Deep expertise in data architecture, data modeling, ETL processes, data warehousing, and real-time processing.</li><li>Hands-on experience with leading technologies such as <b>Hadoop, Spark, Kafka, SQL/NoSQL databases</b>, and cloud platforms (AWS, GCP, Alibaba Cloud).</li><li>Experience with data orchestration tools and containerization (Docker, Kubernetes) is highly desirable.</li><li>Strong understanding of data governance, data quality frameworks, and data security protocols.</li><li>Ability to adapt quickly, solve complex problems, and deliver under tight deadlines.</li><li>Strong communication and collaboration skills across technical and non-technical teams.</li></ul><p>Job Types: Full-time, Contract<br/>Contract length: 12 months</p>

Senior Data Engineer – Riyadh

<p>We are seeking an experienced <b>Data Engineer</b> to lead and enhance our data architecture, integration frameworks, and enterprise-wide data strategies. The ideal candidate will have strong experience in multicloud environments and advanced data engineering tools.</p><ul><li><b>Experience: 8+ Years</b></li><li><b>Nationality: Open</b></li><li><b>Location: In-Person in Riyadh</b></li></ul><p><b>Key Responsibilities</b></p><ul><li>Lead the design and implementation of enterprise data architecture across multicloud environments.</li><li>Build and maintain scalable data engineering frameworks and pipelines.</li><li>Integrate diverse datasets using advanced data modeling and ETL techniques.</li><li>Collaborate with cross-functional teams to translate business needs into data solutions.</li><li>Establish and enforce data engineering best practices and quality standards.</li><li>Evaluate and adopt modern data technologies to enhance integration capabilities.</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li><b>8+ years of experience</b> in Data Engineering roles.</li><li>Strong expertise in:</li><li>Data architecture &amp; modeling</li><li>ETL / ELT workflows</li><li>Data warehousing &amp; real-time processing</li><li>Apache Spark, Kafka, Hadoop</li><li>SQL &amp; NoSQL databases</li><li>Cloud data services (AWS, Google Cloud, Alibaba Cloud)</li><li>Experience with data orchestration tools and containerization (Airflow, Docker, Kubernetes).</li><li>Strong understanding of data governance, data quality, PDPL/GDPR compliance.</li><li>Excellent problem-solving and communication skills.</li></ul><p>Job Types: Full-time, Contract<br/>Contract length: 12 months</p><p>Pay: Up to &#65020;20,000.00 per month</p><p>Work Location: Remote</p>

Data Engineer – Senior Level – Riyadh

KAUST (King Abdullah University of Science and Technology)

<div>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  The Data &amp; Software Engineer is responsible not only for building scalable data pipelines and backend services but also for shaping the architectural direction of integrations, data flows, and internal applications. The role combines strong hands-on engineering with architectural leadership across data models, APIs, cloud components, and enterprise integration patterns. This engineer will meaningfully influence the design of new systems, modernization of legacy components, and the technical standards used across the technical team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Major Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Data Engineering &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Design and implement robust, scalable ETL/ELT pipelines (Snowflake, DBT, Spark, Airflow).
  </li>
  <li>
   Define data models, schemas, and mapping specifications for structured/unstructured datasets.
  </li>
  <li>
   Architect and build integration solutions using REST/SOAP APIs, queues, or cloud-native services.
  </li>
  <li>
   Establish best practices for data quality, lineage, monitoring, and observability.
  </li>
 </ul>
 <p>
  <strong>
   Backend Software Engineering
  </strong>
 </p>
 <ul>
  <li>
   Build backend services, automation tools, and microservices in Python, Java, C# or any other backend language.
  </li>
  <li>
   Apply software design principles (SOLID, KISS).
  </li>
  <li>
   Maintain and evolve existing services through CI/CD, testing, and refactoring for scalability.
  </li>
  <li>
   Implement secure coding practices, API authentication, and integration security standards.
  </li>
 </ul>
 <p>
  <strong>
   Architecture &amp; Technical Strategy
  </strong>
 </p>
 <ul>
  <li>
   Lead the design of system architectures for integrations and internal applications.
  </li>
  <li>
   Produce architecture diagrams, data-flow maps, and interface specifications.
  </li>
  <li>
   Evaluate and recommend tools, integration patterns, and cloud technologies.
  </li>
  <li>
   Ensure alignment with organization-wide architectural standards.
  </li>
  <li>
   Provide guidance on distributed systems, data modelling, storage patterns, and message flows.
  </li>
  <li>
   Mentor engineers on design patterns, code structure, and architectural thinking.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Personal Requirements
  </strong>
 </p>
 <p>
  Competencies
 </p>
 <ul>
  <li>
   Architectural thinking: designs scalable, decoupled, maintainable systems.
  </li>
  <li>
   Strong analytical skills and problem-solving under complexity.
  </li>
  <li>
   Clear communication of technical concepts to diverse stakeholders.
  </li>
  <li>
   Ownership mindset with strong attention to code quality and reliability.
  </li>
  <li>
   Ability to mentor others and elevate engineering standards.
  </li>
 </ul>
 <p>
  Qualifications &amp; Experience
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Software Engineering, or related field.
  </li>
  <li>
   7&ndash;10+ years of combined experience in software and/or data engineering.
  </li>
  <li>
   Proficiency in Python, Java, and C#, with experience building APIs, backend services, and data pipelines.
  </li>
  <li>
   Strong SQL skills and familiarity with modern CI/CD and Git-based workflows.
  </li>
  <li>
   Ability to work with business stakeholders to translate requirements into technical solutions.
  </li>
  <li>
   Strong communication skills and experience collaborating across teams.
  </li>
  <li>
   Exposure to cloud technologies (AWS/Azure) and common integration patterns.
  </li>
  <li>
   Experience with Higher-Ed systems (SIS, LMS) or CRM platforms is a big plus.
  </li>
  <li>
   Familiarity with integration middleware or data governance is beneficial.
  </li>
 </ul>
 <p>
 </p>
</div>


Data & Software Engineer

Explore 1961+ Data engineer in Saudi Arabia this December. Find roles across top companies and apply now to boost your career.

1961 data engineer jobs IN Saudi Arabia

Data Engineer

Data Engineer

Senior Data Engineer

Associate Data Engineer

Senior Data Engineer – Riyadh

Data Engineer – Senior Level – Riyadh

Data & Software Engineer