Data Engineer (ref.1430)

Join to apply for the Data Engineer (ref.1430) role at Stellantis

Company Overview

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.

Job Description

The 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.

Responsibilities

• Design 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 need of upstream and downstream dependencies.
• Work with external carrier stakeholders and internal partner teams to ingest connectivity data for processing.
• Keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.

Hiring may be in Turin, Pomigliano d’Arco, or Modena.

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.

Requirements

• BA/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 in building and maintaining production data applications, with current 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).
• Familiarity with time series database, data streaming applications, Kafka, Flink, and more.

Seniority level

Entry level

Employment type

Full‑time

Job function

Information Technology

Industries

Motor Vehicle Manufacturing

#J-18808-Ljbffr