15 set - Torino
Stellantis
About The Role
We are looking for a Data Engineer to design, develop and maintain robust data pipelines that enable data-driven decision-making across the organization.
In this role, you will work in a global and complex environment, supporting key business domains such as Global Supply Chain. You will collaborate closely with Data Scientists, AI specialists and business teams to ensure reliable, scalable and high-quality data delivery.
What You Will Do
- Design, build, maintain and optimize data pipelines that collect, process and transform data from multiple sources into clean and structured formats.
- Develop scalable and production ready data models and transformations using Snowflake and DBT.
- Ensure data is stored, processed and delivered in a reliable, consistent and efficient manner.
- Implement data quality checks and validation processes to guarantee data accuracy and integrity.
- Collaborate with Data & AI teams to support analytics and advanced data initiatives.
- Contribute to the continuous improvement of data engineering standards, tools and processes.
Who You Are
- 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.
- Strong ability to work independently and take ownership of your tasks.
- A collaborative mindset and confidence working within a team based environment.
- The ability to communicate and explain technical topics to non technical stakeholders when needed.
WHY JOIN STELLANTIS
- Be part of a global automotive leader driving digital and data transformation.
- Work on large scale, business critical data platforms.
- Collaborate with international teams in a dynamic and innov
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