Data Engineer

Stellantis in Torino is seeking a Data Engineer to design, develop and maintain robust data pipelines for data-driven decision making. You will support Global Supply Chain, collaborating with Data Scientists, AI specialists and business teams.

You will design scalable data models with Snowflake and DBT, ensure reliable data delivery, and implement data quality checks. Strong Python/SQL skills and 5+ years of experience are expected.

Design, build, maintain and optimize data pipelines from multiple sources. Develop scalable data models and transformations using Snowflake and DBT. Ensure data storage, processing and delivery is reliable and efficient. Implement data quality checks and validation processes. Collaborate with Data & AI teams to support analytics initiatives. Contribute to continuous improvement of data engineering standards. 5+ years of experience in Data Engineering or similar roles. Degree in Engineering, Computer Science or Computer Programming (Master's or PhD preferred). Strong programming skills in Python and SQL. Experience with Snowflake and a solid understanding of DBT. Basic knowledge of DevOps and orchestration tools (e.g. Git, CI/CD, Airflow). Experience designing and managing data pipelines in enterprise environments. Ability to work independently and in a team, with clear communication.