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Location
In office
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026.

Overview
Company
Impact
Profile match
Stellantis is a multinational automaker that designs, builds and sells passenger cars and light commercial vehicles under brands such as Peugeot, Citroën, Fiat, Jeep, Opel, Alfa Romeo, Chrysler, Dodge and Ram. It was formed in 2021 by the merger of PSA Group and Fiat Chrysler Automobiles and runs large manufacturing and engineering operations in France, Italy, North America, Brazil and Morocco, including the former PSA sites at Poissy and Vélizy-Villacoublay. The company is headquartered in Hoofddorp, Netherlands.

Description de la mission

Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize

Compétences comportementales

Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related topics.

Able to operate across business needs, technical constraints and delivery realities.

Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments.

Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics.

Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope.

Compétences Techniques

Broader exposure across the different building blocks that make AI-ready data operational at scale.

Experience working at the intersection of data engineering, integration, quality and delivery governance.

Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda.

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