Data lake, data warehouse, data mesh architectures
Cloud and hybrid environments
Data governance, quality, and documentation
You will contribute to the implementation of data integration solutions for major clients in the banking, insurance, energy, and industry sectors
Job Summary
You will contribute to the implementation of data integration solutions for major clients in the banking, insurance, energy, and industry sectors.
You will define data architectures (Data Lake, Data Warehouse, Data Mesh...) based on business and technical needs, design data models and integration flows in cloud and hybrid environments.
Capgemini encourages an inclusive culture in a multicultural and disability-friendly environment, valuing diversity and developing talent.
Matching Summary
You will contribute to the implementation of data integration solutions for major clients in the banking, insurance, energy, and industry sectors.
Skills & Requirements
Must-have
Data Lake, Data Warehouse, Data Mesh architectures
Cloud and hybrid environments
Data governance, quality, and documentation
Agile methodology
Nice-to-have
Community of experts worldwide
Sustainable and inclusive world
Continuous learning and development
Key Requirements
Bac+5 in computer science or equivalent
7+ years of experience in data architecture or data engineering
Mastery of data architecture concepts
Good knowledge of cloud environments (Azure, AWS, GCP)