Data Engineer H/F

Open • French: C1 • IT Consulting & Digital Transformation • Custom Software Development • SQL • ETL/ELT • 1 day ago
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Salary
≈ $42k – $83k per year (Estimated)
Location
Hybrid (Nantes, France)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match

Open

Open is a French digital services and IT consulting company headquartered in Levallois-Perret near Paris, delivering software development, data, DevOps, infrastructure and digital transformation projects for corporate and public sector clients. It works with clients in retail, banking, insurance and mutual health, social protection, telecoms, energy and public services from offices in Nantes, Lille, Lyon, Rennes, Strasbourg, Tours, Toulouse, Metz, Aix-en-Provence and Luxembourg. It hires Java, .NET, Flutter and mainframe developers, senior DevOps engineers, data analysts, MDM specialists and technical and IT project managers.
open.global • HQ: Levallois-Perret, France • Custom Software Development • IT Consulting & Digital Transformation • 1001-5000 employees
Tech stack of Open
Backed by Montefiore

Rejoignez OPEN Nantes, une ESN spécialisée dans les services numériques et la transformation digitale. En tant que Data Engineer, vous serez responsable de la conception et du développement des plateformes Data, de l'industrialisation et de l'automatisation des traitements, de l'accompagnement des projets Data & Analytics, et du travail dans un environnement Agile. Vous devez avoir une expérience de 3 à 8 ans en tant que Data Engineer et maîtriser SQL, un langage de programmation, et les outils ETL/ELT.

Missions

  • Participer à la conception des architectures Data modernes et évolutives, développer et maintenir des pipelines d’ingestion et de transformation de données.
  • Déployer les solutions Data dans des environnements Cloud (Azure, AWS ou GCP), automatiser les processus d'alimentation et de supervision des données.
  • Collaborer avec les Data Analysts, Data Scientists et équipes métiers, participer à la définition des modèles de données.
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