About the Role
Choosing Capgemini means choosing a company where you will have the freedom to shape your professional career as you wish, with the support and inspiration of a collaborative community of colleagues around the world. Here, you can reinvent what is possible. Join us and help the world's leading organizations discover the value of technology and build a more sustainable and inclusive world.
Responsibilities
You will play a key role in the evolution of our data platform, evaluating and optimizing the capabilities of tools such as Snowflake, Collibra, and other solutions in the Data ecosystem. You will work alongside Architecture, Data Governance, and Analytics teams to identify opportunities for improvement, promote best practices, and contribute to defining our clients' data technology strategy.
Requirements
•Experience as a Data Engineer or Data Platform Engineer, with a technical profile and a hands-on approach
•The ability to analyze existing data platforms, challenge the status quo, and propose innovative solutions that deliver business value
•Knowledge of Snowflake and cloud data platforms
•Knowledge of data governance and tools such as Collibra
•Knowledge of SQL and Python
•Knowledge of ETL/ELT processes and data integration
•Knowledge of data modeling and architecture
•Knowledge of 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
•Certifications in Snowflake, Cloud, or Data Engineering
•The ability to communicate and influence technical and architecture teams
•An innovative mindset and a focus on continuous improvement
What We Offer
•In-person and online training, as well as certifications
•Varied and challenging projects: you will work on cross-industry challenges, avoiding routine and gaining exposure to diverse technologies
•Flexibility and a hybrid model: a culture focused on work-life balance
•Continuous learning: training in cloud technologies, data governance, visualization, and more
•Real participation in projects involving generative AI, Business AI, and emerging data technologies
•Diverse clients and constant innovation: projects with a real impact at leading organizations
•Collaborative and inclusive environments: dynamic, multicultural teams focused on growth
•Professional growth and technical challenge: autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI area
