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# Data Engineer Azure (F/H)

- **Company:** Michael Page
- **Location:** Créteil, France (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Microsoft Azure, Code Review, Continuous Integration, Data Integration, Extract Transform Load (ETL), Python (Programming Language), Service-Oriented Architecture, SQL Databases, Data Streaming, Azure Data Factory, Microsoft Fabric, Data Lakes, Bicep, Graphql, Restful APIs, Api Management, Microservices
- **Published:** September 24, 2026
- **Apply:** https://www.michaelpage.fr/job-apply/data-engineer-azure-fh/ref/jn-092026-7110442

## About the Role

* De formation Bac+5 en informatique, data ou mathématiques, vous disposez de 3 à 5 ans d'expérience en Data Engineering ou intégration de données dans un environnement Azure.
 * Vous maîtrisez Azure Data Factory et les principaux services Azure Data & Integration (Data Lake, Synapse, Service Bus, Event Hub, APIM, Microsoft Fabric).
 * Vous avez un bon niveau en Python, Java et SQL ainsi qu'une maîtrise des APIs REST/GraphQL/SOA. La connaissance de Bicep/ARM et du CI/CD est attendue.
 * Autonome et force de proposition, vous appréciez le travail en équipe et en transverse.

## Description

Le poste s'inscrit au sein d'un environnement technique structuré, à forts enjeux de volumétrie, de performance et de disponibilité.

Process 2 semaines, 3 entretiens., En tant que data engineer Azure, vous aurez les responsabilités suivantes :

 * Concevoir et développer des pipelines ETL/ELT sur Azure Data Factory.

 * Intégrer, transformer et orchestrer des flux de données complexes issus de différentes sources.

 * Développer et intégrer des APIs REST / GraphQL / SOA et solutions d'API Management.

 * Exploiter les principaux services Azure Data : Data Lake, Synapse, Service Bus, Event Hub, Event Grid.

 * Participer à la migration et à l'optimisation des flux vers Microsoft Fabric.

 * Mettre en œuvre les principaux patterns d'intégration : event-driven, microservices et orchestration.

 * Rédiger les spécifications, réaliser les tests, documenter les développements et participer aux revues de code.

 * Travailler en mode Agile et transverse avec les équipes Métier, Architecture et Data pour faire évoluer la plateforme.


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