> Markdown version of [/jobs/ext/2953236-devops-data-engineer-cloud-platform-engineer-h-f](https://www.wearedevelopers.com/jobs/ext/2953236-devops-data-engineer-cloud-platform-engineer-h-f). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# DevOps Data Engineer - Cloud Platform Engineer H/F

- **Company:** AGENCE D'HONFLEUR
- **Location:** Paris, France
- **Experience:** Expert
- **Salary:** €50,000.0 - €65,000.0
- **Contract:** Contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, Identity and Access Management, Cloud Platform System, Git, Data Lakes, Pyspark, Gitlab-ci, AWS Data Analytics, Terraform, Jenkins, Databricks
- **Published:** September 17, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/83447114.html

## About the Role

Entre 8 et 15 années d'expérience globale en IT / Cloud / Data Engineering

 - Un permis B valide (obligatoire pour ce poste)
 - Une certification officielle AWS (AWS Certified Solutions Architect ou AWS Certified Data Engineer)
 - Une expertise sur les services AWS Data & Infra (S3, Glue, Lambda, IAM, EMR, Athena)
 - Une solide maîtrise de la plateforme Databricks et de l'écosystème Lakehouse (Delta Lake, PySpark)
 - Une pratique éprouvée de Terraform et des outils de CI/CD (GitLab CI, Jenkins, Azure DevOps)
 - Un Français courant/bilingue

Les + de la mission :

 - Environnement dynamique et moderne
 - Méthodologie Agile
 - Démarrage rapide dès que possible

EUR

Français
AWS
Git
Méthodes agiles
Jenkins

## Description

Maintenir et sécuriser les environnements AWS et la plateforme Databricks.

 - Concevoir, déployer et automatiser les infrastructures via Terraform.
 - Mettre en place, optimiser et maintenir les pipelines de déploiement continu.
 - Gérer les incidents, suivre la performance et traiter les demandes d'évolution.
 - Collaborer avec les Data Engineers, Data Scientists et équipes de sécurité pour garantir conformité et scalabilité.


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