GCP Lead Data Engineer
ValeoParis, Ile-de-France, France
Posted February 24, 2026
Full Time
About the Company
Valeo is a technology company and partner to all automakers and new mobility players worldwide. Valeo innovates to make mobility safer, smarter and more sustainable. Valeo enjoys technological and industrial leadership in electrification, driving assistance systems, reinvention of the interior experience and lighting everywhere. These four areas, vital to the transformation of mobility, are the Group's growth drivers. Valeo in figures: 21.5 billion euros in sales in 2024 | 106,100 employees, 28 countries, 155 plants, 64 research and development centers and 19 distribution platforms at February 28, 2025. Valeo is listed on the Paris Stock Exchange. -- Valeo, entreprise technologique, partenaire de tous les constructeurs automobiles et des nouveaux acteurs de la mobilité, œuvre pour une mobilité plus propre, plus sûre et plus intelligente, grâce à ses innovations. Valeo dispose d’un leadership technologique et industriel dans l’électrification, les aides à la conduite, la réinvention de la vie à bord et l'éclairage à l’intérieur et à l’extérieur du véhicule. Ces quatre domaines, essentiels à la transformation de la mobilité, sont les vecteurs de croissance du Groupe. Valeo en chiffres: 21.5 milliards d'euros de chiffre d'affaires en 2024 | 106 100 employés, 28 pays, 155 sites de production, 64 centres de recherche et développement et 19 plateformes de distribution au 28 février 2025. Valeo est cotée à la Bourse de Paris.
Job Description
Valeo is recruiting a GCP Lead Data Engineer to define and pilot the data strategy on Google Cloud Platform. The role involves technical leadership of the data team and collaboration with BI, Data Science, and AI teams to deploy advanced solutions.
Requirements
- Contribute to the development and maintenance of the data architecture roadmap, aligned with the Group's standards and business needs.
- Participate in the definition of the organization and delivery model of the data engineering (standards, working methods, best practices).
- Design architectures on GCP and ensure clear technical documentation and standards.
- Advise on technological choices, data models, and cloud cost optimization.
- Support the data engineering team and ensure a high level of quality in architecture and code.
- Design and supervise scalable ETL/ELT pipelines, transforming raw data into reliable and exploitable datasets by the business.
- Support the development of AI solutions, including generative AI, to improve data access and insights.
- Collaborate closely with BI and analytics teams to support dashboards and real-time reporting.
- Deploy a data governance framework including cataloging, data lineage, and standard management.
Benefits
- Stock option plan
- Housing action
- Presence of a social and economic committee (CSE)
- Partial telecommuting possible (2 days a week)
- Company restaurant
