Ingénieur data H/F

Lectra • French: C1 • CAD, PLM & BIM Software • Industrial Machinery • Python • SQL • Power BI • ETL/ELT • Talend • Azure Data Factory • 3 days ago
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Salary
≈ $44k – $76k per year (Estimated)
Location
Hybrid (Cestas, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match

Lectra

Lectra is a technology company founded near Bordeaux in 1973 that equips fashion, automotive and furniture manufacturers. It combines computer-aided design software, connected cutting machines and industrial data services for material optimisation. Listed on Euronext, it has expanded into product lifecycle management through acquisitions such as Gerber Technology.
lectra.com • HQ: Bordeaux, France • AI Agents • Cybersecurity • Artificial Intelligence • Industrial Machinery • CAD, PLM & BIM Software • 1001-5000 employees • Est. 1973
Tech stack of Lectra

Rejoignez notre département IT basé à Bordeaux/Cestas en tant qu'Ingénieur Data. Vous serez responsable de la conception, de la construction et de l'exploitation de pipelines et de plateformes de données fiables et scalables, au service des besoins analytiques et opérationnels du Groupe. Vous garantirez la disponibilité, la qualité et la performance des données pour la BI, le reporting et les cas d'usage data.

Missions

  • Concevoir, développer et maintenir les pipelines de données (ETL/ELT) et les modèles de données (data warehouse / datalake).
  • Garantir la qualité, la fiabilité et la performance des données, et assurer les intégrations entre systèmes et applications.
  • Automatiser, surveiller et documenter les flux, transformations et modèles de données, et contribuer à l’amélioration continue des pratiques de développement.

Profil recherché

Profile description:

De formation Bac+5, vous justifiez d’une expérience confirmée (au moins 5 ans) en data engineering / BI, idéalement dans un environnement international et data-driven.

Vous maîtrisez le langage SQL et la modélisation de données (schémas en étoile / flocon), les outils ETL/ELT (Talend, Azure Data Factory...) et les plateformes data cloud (Azure, Snowflake). Vous avez une bonne pratique de Python et des APIs.

Doté(e) d’un bon sens business et d’une réelle capacité de résolution de problèmes, vous savez traduire les besoins métier en flux de données exploitables et collaborer avec des profils techniques comme non techniques

Curieux(se) et attaché(e) à la recherche de sens et de valeur, vous appréciez le travail en équipe, le partage et la communication.

Compétences requises

  • SQL et modélisation de données.
  • Outils ETL/ELT (Azure Data Factory, Talend…)
  • Plateformes data cloud (Azure, Snowflake…)
  • Python / APIs
  • Bon sens business et capacité de résolution de problèmes.

Compétences souhaitées

  • Dataviz Power BI (datasets, relations, mesures DAX).
  • Gestion de configuration / déploiement (Git / GitHub).
  • Connaissance de SAP BI.
  • Sensibilité à la confidentialité des données et au RGPD.
  • Veille technologique (Power BI, data engineering).
  • Anglais (environnement international).
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