Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.

With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

Please submit your CV in English.

Data Engineering Intern to support the development of an end-to-end (E2E) testing environment for our data platform built on AWS and Databricks. The role offers hands-on experience with modern data engineering technologies and cloud-based data processing.

The intern will work under the guidance of an experienced technical mentor and collaborate with data engineers responsible for building and maintaining the platform.

The internship will focus on building and supporting an end-to-end testing environment that validates the full pipeline from data ingestion to analytics. A key part of the work will involve verifying the correctness of data stored in the analytics layer and ingestion execution.

Responsibilities:

• support the setup and configuration of an E2E testing environment for data pipelines
• develop Python scripts to generate test data and validate results
• verify database and table state in Databricks after pipeline execution
• write SQL queries to validate data correctness and completeness
• assist in testing integrations between AWS ingestion services and the Databricks analytics layer
• prepare test datasets and reproducible test scenarios
• document environment setup, validation procedures, and expected data states.

Requirements:

• Bachelor's or Master's degree in: Computer Science, Data Science, Machine Learning, Artificial Intelligence, Big Data.
• Basic programming skills in Python.
• Basic knowledge of SQL.
• Familiarity with Git.
• Basic understanding of data processing / ETL concepts.
• Willingness to learn cloud and data engineering technologies.

Nice to Have:

• Familiarity with AWS.
• Familiarity with Databricks or Apache Spark.
• Basic understanding of data warehouse or lakehouse concepts.

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.