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Stellantis

Data Engineer

CDI
Stellantis · Publiée le 20/04/2026 · Réf. 336120&200426
Fonction
Lieu
Expérience
Rémunération
€ – € /
Début
Tue, 14 Apr 2026 11:35:14 Z
Permis B
Non requis

Description de l'offre

ABOUT THE ROLE We are looking for a Data Engineer to design, develop and maintain robust data pipelines that enable data‑driven decision‑making across the organization. In this role, you will work in a global and complex environment, supporting key business domains such as Global Supply Chain. You will collaborate closely with Data Scientists, AI specialists and business teams to ensure reliable, scalable and high‑quality data delivery. WHAT YOU WILL DO As a Data Engineer, you will: • Design, build, maintain and optimize data pipelines that collect, process and transform data from multiple sources into clean and structured formats. • Develop scalable and production ready data models and transformations using Snowflake and DBT. • Ensure data is stored, processed and delivered in a reliable, consistent and efficient manner. • Implement data quality checks and validation processes to guarantee data accuracy and integrity. • Collaborate with Data & AI teams to support analytics and advanced data initiatives. • Contribute to the continuous improvement of data engineering standards, tools and processes.
ABOUT THE ROLE We are looking for a Data Engineer to design, develop and maintain robust data pipelines that enable data‑driven decision‑making across the organization. In this role, you will work in a global and complex environment, supporting key business domains such as Global Supply Chain. You will collaborate closely with Data Scientists, AI specialists and business teams to ensure reliable, scalable and high‑quality data delivery. WHAT YOU WILL DO As a Data Engineer, you will: • Design, build, maintain and optimize data pipelines that collect, process and transform data from multiple sources into clean and structured formats. • Develop scalable and production ready data models and transformations using Snowflake and DBT. • Ensure data is stored, processed and delivered in a reliable, consistent and efficient manner. • Implement data quality checks and validation processes to guarantee data accuracy and integrity. • Collaborate with Data & AI teams to support analytics and advanced data initiatives. • Contribute to the continuous improvement of data engineering standards, tools and processes.

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