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Salary
$45k – $50k per year
Location
Hybrid (France)
Employment
Freelance

First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
EtixWay is a French IT consulting company that presents itself as a strategic IT partner turning clients' digital ambitions into reality, going beyond pure IT engineering. It places experts such as identity and access management specialists, infrastructure architects, business analysts and Java and Angular developers with client companies, including luxury sector clients. The company is headquartered in Noisy-le-Grand, France.

Dans le cadre du développement des projets Data, nous recherchons un Data Engineer / DataOps pou accompagner les différentes entités dans l’utilisation et l’industrialisation de la plateforme.

Missions :
  • Administrer, superviser et maintenir les workspaces

  • Définir, documenter et faire évoluer les standards et bonnes pratiques

  • Garantir la qualité, la sécurité et la conformité des services proposés aux différentes entités

  • Industrialiser les environnements et déploiements avec des pratiques DevOps / IaC

  • Tester et évaluer les nouvelles fonctionnalités Databricks puis formuler des recommandations

  • Veiller au respect des politiques et accompagner leur mise en œuvre

  • Contribuer à la conception et réalisation de use cases Data stratégiques portés par les différentes entités

  • Participer à l’amélioration continue de l’écosystème Data et des processus d’exploitation

Compétences techniques :
  • Databricks : administration, configuration et exploitation de workspaces.

  • Python / PySpark / Spark.

  • Git et pratiques de gestion de code.

  • AWS et/ou Azure.

  • Infrastructure as Code (IaC) : Terraform, CloudFormation ou équivalent.

  • DevOps / DataOps : CI/CD, automatisation, industrialisation et déploiement.

  • Environnements Agile : Scrum et/ou Kanban.

Profil recherché

Nous recherchons un profil Data Engineer / DataOps confirmé, disposant d'une expérience significative sur Databricks et capable d'intervenir aussi bien sur les sujets techniques que sur l'industrialisation et la gouvernance de la plateforme.

Le consultant devra être capable de travailler avec différentes équipes Data, IT et métiers, de formaliser les bonnes pratiques

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