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Salary
≈ $44k – $76k per year (Estimated)
Location
In office (Lyon)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 14, 2026. LR Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match
LR Technologies is a French engineering and IT consulting group that places its specialists on projects within client teams in demanding technical environments. It hires .NET tech leads, Java and Node.js developers, DevOps engineers and banking project managers in cities such as Lille, Lyon, Aix-en-Provence and Toulouse. The group is registered in Vannes, France, with a group office in Versailles.

Bienvenue chez LR Technologies Rhône-Alpes

« Toutes les Sociétés de Conseil se ressemblent », Toutes ?

LR TECHNOLOGIES GROUPE c'est600 Libelliens qui nous ont élusGreat Place To Wor k en 2016, 2018 et à présent 3e France et Europe 2021. Nous sommes également la 99e société française labellisée B CORP pour notre engagement RSE.

Depuis 2014 nous avons créé 11 implantations et 5 pôles d'activités complémentaires :

- Aéronautique / Spatial / Défense

- Drone / Robotique / IoT / Automobile/ Ferroviaire / Industries / Multimédia

- Médical / Pharmaceutique

- Énergie / Environnement

- Systèmes d'Informations / Banque / Finance / Assurance

MISSIONS

  • Concevoir et développer des pipelines de données avec Python, PySpark et Databricks.

  • Alimenter et maintenir une architecture Data Lake organisée en couches Bronze, Silver et Gold.

  • Optimiser les traitements existants en matière de performance, de qualité des données et de coûts.

  • Superviser les flux de données et mettre en place des mécanismes de monitoring et d’alerting.

  • Participer à la fiabilisation et à l’industrialisation de la plateforme Data.

  • Maintenir et faire évoluer l’infrastructure Cloud avec Terraform.

  • Développer et maintenir les pipelines CI/CD avec Jenkins et GitHub.

  • Contribuer aux études techniques, aux préconisations d’architecture et à la documentation.

Environnement technique :

  • Cloud & Data : Azure, Databricks, Azure Data Factory, Azure Storage, Azure Key Vault, Power BI.

  • Développement : Python, PySpark, SQL, Spark SQL.

  • Data Engineering : Delta Lake, Parquet, CSV.

  • DevOps & CI/CD : Terraform, Jenkins, GitHub, Git, pipelines de déploiement.

PROFIL

De formation supérieure, vous justifiez d'une expérience significative en tant qu'ingénieur Data avec une bonne maîtrise de Python, PySpark, SQL et Databricks.

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