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≈ $54k – $99k per year (Estimated)
Location
Remote (likely France)
Seniority
Staff
Employment
Freelance

First seen by Alion on Sep 2, 2026.

Overview
Company
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Profile match
EterniTech is a French IT consulting company offering cybersecurity advisory to protect sensitive data, detect threats and build solid security strategies. It also places consultants such as tech leads, data engineers, incident managers and project managers with large clients on digital and data projects. The company is headquartered in Paris, France.
Poste : Tech Lead Data Cloud – Azure / Databricks

Localisation : Nantes, avec 1 jour/semaine sur site et possibilité de télétravail le reste du temps.

Contexte :
Au sein d’une direction Data & IA, le consultant interviendra comme Tech Lead Data Cloud sur les périmètres immobilier et véhicule, en accompagnant les équipes de développement.

Missions principales :

  • Concevoir les solutions et usages en respectant l’architecture cible.

  • Instruire les sujets techniques complexes.

  • Accompagner et faire monter en compétence les équipes.

  • Garantir la qualité du delivery et le respect des bonnes pratiques.

  • Réaliser des développements Python / Spark / PySpark / SQL.

  • Participer aux démarches FinOps et à l’optimisation des coûts cloud.

  • Garantir la cohérence des versions déployées en production.

  • Assurer le support N3.

  • Produire et maintenir la documentation technique :

    • spécifications techniques ;

    • modélisation ;

    • code commenté ;

    • tests unitaires ;

    • tickets Jira.

Profil recherché

Environnement technique
  • Python

  • Databricks

  • Azure

  • Azure Data Factory

  • Spark / PySpark

  • SQL

  • Terraform

  • GitLab

  • Nexus

  • Jira / Confluence

Profil recherché :

Le profil idéal est un Tech Lead / Data Engineer senior orienté Cloud Azure, avec une forte maîtrise de Databricks et Python/PySpark, capable d'intervenir à la fois sur :

  • l’architecture et les choix techniques ;

  • le développement ;

  • l’accompagnement des développeurs ;

  • la qualité et la mise en production ;

  • le support N3 ;

  • l’optimisation des coûts Azure/Databricks (FinOps).

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