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Salary
≈ $41k – $69k per year (Estimated)
Location
Hybrid (Sèvres, France)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 21, 2026.

Overview
Company
Impact
Profile match
Webnet is a French digital services company specialised in web applications, certified Great Place To Work since 2018. Its job ads seek front-end React and Next.js developers, WinDev and .NET developers, a fullstack LLM developer and an AI product owner in Paris, Lille and Nantes. The company is headquartered in Sèvres near Paris, France.

Rejoignez une équipe Big Data en tant que DataOps Engineer confirmé. Vous serez responsable du bon fonctionnement, de la disponibilité et de l'évolution de la plateforme Data. Vos missions incluront le Run quotidien, l'analyse et la résolution des incidents techniques, la gestion de l'obsolescence technique et applicative, et l'amélioration de la performance, de la disponibilité et de la scalabilité du socle de données. Vous travaillerez dans un environnement Cloud Azure et utiliserez des outils tels que Terraform, CI/CD, Spark, Databricks, Airflow, Kafka et Hadoop.

Missions

  • Assurer le Run quotidien et le maintien en conditions opérationnelles de la plateforme Data, y compris l'analyse et la résolution des incidents techniques.
  • Gérer l'obsolescence technique et applicative, et améliorer la performance, la disponibilité et la scalabilité du socle de données.
  • Déployer et exploiter des services dans un environnement Cloud Azure, et automatiser et industrialiser les déploiements via Terraform et CI/CD.

Profil recherché

De formation supérieure, vous disposez d’une expérience d'au moins 8 ans dans l’exploitation et l’industrialisation de plateformes Data / Big Data.

Vous maîtrisez idéalement :

  • Les environnements Azure et Databricks.
  • Les problématiques de Run, supervision et maintien en conditions opérationnelles.
  • Spark, Python, Scala et SQL.
  • Les outils d’orchestration tels qu’Airflow.
  • Les environnements de streaming avec Kafka.
  • L’Infrastructure as Code avec Terraform.
  • Les chaînes de déploiement CI/CD.
  • Les pratiques DevOps / DataOps.

Vous êtes à l’aise pour diagnostiquer des incidents, analyser des problématiques de performance et intervenir sur des environnements Data complexes

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