DATA ENGINEER

Data Engineer

Stellantis is looking for a Data Engineer to support our data teams.

Responsibilities

• Provide the complete set of data needed for Data Analysts and Data Scientists.
• Deploy tools and processes to process, cleanse and model large volumes of data (collection from IT sources, cleaning and transformation in the appropriate data processing environment).
• Build the data model corresponding to the functional schema defined by the business.
• Develop data processing pipelines for various projects.
• Ensure performance and integrity level of data processing as required.
• Deploy monitoring tools and document pipelines.
• Leverage pipeline development to provide a generic, transferable, and scalable vision.
• Support and maintain existing pipelines.
• Keep up-to-date with technology in your domain of expertise.
• Collaborate with other data stakeholders (Data Analysts, Data Scientists) and IT teams (DevOps, Infrastructure, Architecture, Project Managers).

Qualifications

• Master’s degree or higher in computer science, engineering, mathematics or a related technical field.
• Demonstrated cross‑disciplinary versatility: data engineering, software architecture, data science, DevOps, etc.
• Proficiency in Shell, Python and SQL programming languages.
• Knowledge of database management concepts (RDBMS, NoSQL) and big data environments (Hadoop, Spark, Elasticsearch).
• Proficiency with data query and processing tools (ETL/ELT, DBT, DataStage, Kafka for real‑time processing).
• Experience with platforms such as Snowflake, Databricks, Foundry.
• Understanding of data engineering operational concepts (code versioning, CI/CD, Docker, Kubernetes, Airflow).
• Ability to translate complex and ambiguous business problems into concrete development and data requirements.
• Experience building highly scalable services or products in a large international B2B/B2C company.
• Familiarity with business objectives, compliance requirements (e.g., data protection & confidentiality) and technical constraints in a data landscape.
• Knowledge of regional or international data regulations, privacy laws and industry best practices.
• Proactive, collaborative, solution‑oriented mindset contributing positively to Stellantis’ data culture.
• Experience working with geographically distributed cross‑functional teams.
• Excellent communication skills, especially in technical writing and management‑level presentations.

EEO Statement

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, ages, ethnicities, nationalities, religions, sexual orientations, and disabilities. Diverse teams allow us to better meet evolving customer needs and care for our future.

Job Details

• Seniority level: Entry level
• Employment type: Full‑time
• Job function: Information Technology
• Industry: Motor Vehicle Manufacturing
• Location: Poissy, Île‑de‑France, France