Data Engineer designing and implementing end-to-end data processes, leveraging cloud-based infrastructures. Join Capgemini to work on sustainable and inclusive technology solutions.
Responsibilities
Design and implement end‑to‑end data processes, including ADF Pipelines and Databricks workflows
Responsible for developing and versioning data models across both transactional and data warehouse environments
Working with cloud‑based data infrastructures on Azure, ensuring scalable and secure data solutions
Support the development and execution of schema and data migrations across multiple systems
Optimize ETL processes to enhance performance, reliability, and operational efficiency
Requirements
5+ years of experience
Design applications and technical solutions
Strong knowledge of data modeling concepts and techniques for both data warehouse and transactional systems
Hands-on experience with Databricks, Delta Lake, Python, PowerShell, MS SQL Server, and T-SQL
Good working knowledge of the Azure data engineering stack, including Azure Data Factory, Azure Data Lake, and Cosmos DB
Experienced in DevOps practices and in testing, operating, and optimizing complex data flows
Experience working with Power BI (plus)
Benefits
Flexibility enables a better work-life balance
Local programs that promote people growth, reskill and new skills development (Career Acceleration Programs)
Empowering environment with autonomy and peers' relationships among the top scores of Monthly Employees' feedback
Attractive compensation package and benefits such as Health and Life insurance
Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships
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