platform engineer for data platforms

Capgemini is a global business and technology transformation partner that helps organizations accelerate their transition toward a digital and sustainable world. It provides solutions spanning strategy, design, engineering, artificial intelligence, generative AI, cloud, and data.

• Evaluate and optimize the capabilities of Snowflake, Collibra, and other Data ecosystem solutions;
• Analyze existing data platforms and identify opportunities for improvement;
• Drive data engineering best practices;
• Contribute to defining clients’ data technology strategy;
• Work with Architecture, Data Governance, and Analytics teams;
• Propose innovative solutions that deliver business value.

• Experience as a Data Engineer or Data Platform Engineer;
• Hands-on technical profile;
• Knowledge of Snowflake and cloud data platforms;
• Knowledge of data governance and tools such as Collibra;
• SQL and Python;
• ETL/ELT processes and data integration;
• Data modeling and data architecture;
• Data Quality, Metadata Management, and Data Lineage;
• Nice to have: experience evaluating and implementing new Data solutions, knowledge of Data Mesh, Data Fabric, or modern data architectures, Snowflake, Cloud, or Data Engineering certifications, ability to communicate with and influence technical and architecture teams, innovative mindset and continuous improvement orientation, disability certificate.

• Training and certifications are available;
• Access to in-person and online training;
• Varied and challenging multisector projects;
• Exposure to cloud technologies, data governance, visualization, generative AI, Business AI, and emerging data technologies;
• Autonomy, mentoring, certifications, and opportunities to expand the role within Data & AI.