Data lake, data warehouse, data mesh architectures
Data modeling and integration flows
Cloud and hybrid environments
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.
Define data architectures (Data Lake, Data Warehouse, Data Mesh...) based on business and technical needs, and design data models and integration flows in cloud and hybrid environments.
Join a multidisciplinary team organized in Agile mode, working on projects with high business impact and benefiting from continuous learning opportunities.
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
Data modeling and integration flows
Cloud and hybrid environments
Data governance and quality practices
Collaboration with Data Engineering, BI, Data Science
Nice-to-have
Agile methodology
Continuous learning and development
Inclusive and multicultural culture
Key Requirements
Bac+5 in IT 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)