Data Engineer

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 you can make a difference. Where no two days are the same.

As a Data Engineer, you will join our Data Platform team and play a critical role in designing, developing, and optimizing scalable data solutions that power analytics, reporting, and business decision-making.

You will contribute to building a robust and reliable data ecosystem, working closely with cross-functional teams to deliver high-quality data products.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and Databricks
• Build efficient and reusable data processing and transformation frameworks following engineering best practices
• Collaborate with Data Scientists, Data Analysts, and Software Engineers to deliver robust and scalable data solutions
• Support data modeling activities for analytical and operational use cases
• Deploy and manage data workloads within Azure Cloud environments
• Contribute to CI/CD pipelines and deployment automation using Azure DevOps
• Work within Agile teams, actively participating in sprint ceremonies
• Ensure high standards of code quality, testing, version control, and documentation using Git and modern engineering practices

We are looking for a professional combining strong technical expertise with a collaborative mindset and a passion for building reliable data solutions.

Required Skills & Experience

• 4+ years of experience in Data Engineering or a similar role
• Strong hands-on experience with:
  • Python
  • PySpark
  • Databricks
• Proven experience designing and maintaining production-grade data pipelines
• Solid understanding of Azure Cloud environments

Additional Experience With

• Azure DevOps
• Git & version control systems
• CI/CD pipelines
• Data Modeling techniques
• Agile methodologies (Scrum, Kanban)

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication and collaboration skills
• Ability to work independently while contributing effectively within cross-functional teams
• Proactive mindset with attention to detail and quality