Senior Data Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your roleDo data pipelines, data migrations and cloud data platforms belong to your comfort zone? Do you master the relevant data tools to enable scalable analytics and AI services

We are looking for a Senior Data Engineer to join our team. As a member of our Insights & Data practice, you will be part of a global network of data experts and work to design and implement cloud data platforms on a cutting-edge technology stack.

Your role will be defined based on your experience and interests, possibilities varying from hands-on implementation work to designing data and solution architectures.

Your profile:

Strong hands-on experience as a Data Engineer in designing and implementing Azure-based ETL solutions and scalable data pipelines. (experience with AWS or Google Cloud is an advantage)

Experience with Databricks and other modern Lakehouse platforms

Excellent hands-on skills with SQL, PySpark and Python

Deeper understanding of data warehousing concepts and experience on implementing dimensional based models

Practical experience with CI/CD practices and related tools (e.g. Git, Jenkins, Azure DevOps, or similar)

Strong communication skills with the ability to bridge business, data, and technology, translating customer needs into trusted technical solutions

Beneficial skills:

Previous experience as a Data Architect is an advantage

Experience on Snowflake

Experience on reporting tools, such as Power BI, Qlik, etc.

Data integration and processing tools such as Informatica or SSIS

Infrastructure-as-Code tools like Terraform, Ansible, or AWS CloudFormation

Data modeling