Data Engineer

OrganisationJoining us means joining a global company. Driven by the constant search for innovation and excellence, a pioneer and leader in clean technologies and sustainable mobility, the Group intends to remain at the front‑line of the major trends that are moving the world. With its efficiency, agility and team spirit, the Group is demanding and bold in defining the mobility of tomorrow. To succeed in these transformations, the company needs all the talents. Join usCompany OverviewStellantis 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. 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.Reference2025‑17977Job TitleData Engineer – Global Analytics & Data Products TeamContractPermanent contractStatusStaffJob DescriptionThe Global Analytics & Data Products Team is looking for a Data Engineer to join our team. Your mission is to establish the organization’s data infrastructure, promote engineering best practices on data management, and maintain a high bar for data quality.Main ActivitiesDesign and implement secure, scalable, high‑performance and robust data services for connected vehicle data in distributed data processing platforms using modern Big Data technologies.Design, extend, and review data architecture, model, flow, and integration – be hands‑on and involved with every stage of the software development life cycle.Partner with software engineers and data scientists to meet the needs of upstream and downstream dependencies.Work with external carrier stakeholders and internal partner teams to ingest connectivity data for data processing.Keep up to date with evolving Big Data technology, share knowledge across the organization by enabling best practices, standards, governed processes, and relevant technologies.The hiring could be in Turin / Pomigliano d’Arco / Modena.Profile / RequirementsBA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline preferred.2+ years of experience in data engineering and the software development life cycle.2+ years of hands‑on experience building and maintaining production data applications, currently experience in both relational and distributed columnar data stores.Experience using SQL, Python, and Spark.Experience with Airflow.Experience working with cloud Big Data platforms (e.g. AWS Redshift, Google BigQuery, Azure Data Warehouse, etc.).Familiarity with time series databases, data streaming applications, Kafka, Flink, and more.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.Additional InformationHybrid work arrangement (#LI-Hybrid). Level 1 – Business Group 1 (#L1-BG1).#J-18808-Ljbffr