Data Scientist jobs in Saudi Arabia

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where can you make a difference. Where no two days are the same.

We are looking for a passionate and experienced Data Engineer to join our growing team. In this role, you will design, build, and optimize scalable data infrastructure that powers intelligent decision-making across industries. You’ll work with cutting-edge technologies to integrate diverse data sources, build real-time and batch pipelines, and ensure data quality, governance, and performance. You’ll collaborate with cross-functional teams to deliver robust, secure, and high-performance data solutions that drive innovation and business value.

• Design and maintain data pipelines for structured, semi-structured, and unstructured data
• Optimize Apache Spark for distributed processing and scalability
• Manage data lakes and implement Delta Lake for ACID compliance and lineage
• Integrate diverse data sources (APIs, databases, streams, flat files)
• Build real-time streaming pipelines using Apache Kafka
• Automate workflows using Airflow and containerize solutions with Docker
• Leverage cloud platforms (AWS, Azure, GCP) for scalable infrastructure
• Develop ETL workflows to transform raw data into actionable insights
• Ensure compliance with data privacy standards (PII, GDPR, HIPAA)
• Build APIs to serve processed data to downstream systems
• Implement CI/CD pipelines and observability tools (Prometheus, Grafana, Datadog)

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
• 5+ years of experience in data engineering and distributed systems
• Expertise in Apache Spark and Delta Lake
• Hands‑on experience with cloud services (AWS, Azure, GCP)
• Strong skills in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra)
• Proficiency in data formats like Parquet, Avro, JSON, XML
• Experience with Airflow, Docker, and CI/CD pipelines
• Familiarity with data governance and compliance frameworks
• Strong understanding of data quality, lineage, and error handling
• Experience developing data APIs and working with MLOps tools

• Experience with Kubernetes for container orchestration
• Knowledge of data warehouses (Snowflake, Redshift, Synapse)
• Familiarity with real‑time analytics platforms (Flink, Druid, ClickHouse)
• Exposure to machine learning pipelines and IoT data integration
• Understanding of graph databases (Neo4j) and data cataloging tools (Apache Atlas, Alation)
• Experience with data versioning tools like DVC

• Flexible work arrangements including remote options and flexible hours
• Career growth programs and diverse opportunities to help you thrive
• Access to certifications in the latest technologies and platforms

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 over 360,000 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.

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