Data Engineer

Stellantis; Torino; In loco; EUR 55.000 - 90.000; Tempo pieno

Descrizione del lavoro

Stellantis is seeking a Data Engineer in Torino to design, develop and maintain robust data pipelines supporting data-driven decisions across the organization. You will collaborate with Data Scientists, AI specialists and business teams to ensure reliable, scalable data delivery.

The role emphasizes production-grade data models, data quality checks and the ability to work in a global, complex environment within Global Supply Chain.

Competenze

• 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 (Git, CI/CD, Airflow).
• Experience designing and managing data pipelines in enterprise environments.

Mansioni

• Design, build, maintain and optimize data pipelines from multiple sources into clean, structured formats.
• Develop scalable, production-ready data models and transformations using Snowflake and DBT.
• Ensure data is stored, processed and delivered reliably and efficiently.
• Implement data quality checks and validation processes to ensure accuracy and integrity.
• Collaborate with Data & AI teams to support analytics and advanced data initiatives.
• Contribute to continuous improvement of data engineering standards, tools and processes.

Conoscenze

Python

SQL

Communication

Independent work

Formazione

Master's degree in Engineering or Computer Science

Strumenti

Snowflake

DBT

Git

CI/CD

Airflow

Descrizione del lavoro

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 innovative environment.
• Grow your technical expertise while contributing to impactful, real world use cases.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.