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.
We are seeking a Data Engineer to join our Data Engineering team in Stellantis in Turin.
Responsibilities:
- Design and build scalable data platforms (AWS, Databricks LakeHouse, Open Source solutions for BigData like Apache Spark and Airflow).
- Support architecture decisions and technical direction for PetaBytes scale time-series vehicles validation data platform (data transformations and KPI calculations sub-domain).
- Develop data pipelines (Spark/Photon, Scala, Python).
- Ensure reliability, performance, and data quality.
- Create data quality tests automation.
Requirements:
- Experience with AWS.
- IaC - Terraform automation practice for a few years with production BigData systems.
- Expertise in Spark and distributed systems.
- Proficiency in Scala and Python.
- Solid understanding of data architecture and CI/CD (Github Actions).
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.
