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# Data Engineer / Data Architect Senior (H/F)

- **Company:** Collective
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon S3, Confluence, JIRA, Unit Testing, Data Architecture, Data Infrastructure, Python (Programming Language), Machine Learning, Oracle (Applications), Standard Sql, Feature Engineering, Informatica Powercenter, Large Language Models, Apache Spark, Generative AI, Git, Pyspark, Data Analytics, Jenkins
- **Published:** May 21, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=0dc5d657717f461b

## About the Role

* Expérience significative en Data Engineering et architecture data
 * Très bonne maîtrise de Python, Spark et PySpark
 * Expérience sur des architectures Lakehouse / Data Platform
 * Bonne compréhension des problématiques BI et data analytics
 * Expérience avec Informatica appréciée
 * Connaissances en Machine Learning / Feature Engineering
 * Intérêt pour les usages LLM / GenAI appliqués à la donnée
 * Bon relationnel et capacité à interagir avec les équipes métiers

## Description

La mission consiste à concevoir et mettre en œuvre une architecture Lakehouse moderne afin de remplacer et enrichir les solutions existantes.

Le consultant interviendra en collaboration avec les équipes Data, les métiers et les équipes transverses du groupe.

Missions

 * Concevoir l'architecture d'un Lakehouse sur S3
 * Développer des pipelines de collecte et de transformation de données
 * Mettre en place les systèmes de stockage et d'ordonnancement des traitements
 * Développer des traitements en Python / Spark / PySpark
 * Assurer la qualité des développements via les tests unitaires
 * Participer au monitoring et au suivi des traitements
 * Rédiger la documentation technique
 * Accompagner les phases de recette avec les utilisateurs et la MOA
 * Participer aux échanges avec les équipes métiers et techniques
 * Contribuer à l'amélioration continue des processus de développement

Environnement technique

 * Python
 * Spark / PySpark
 * SQL
 * Architecture Lakehouse sur S3
 * Dagster
 * Trino
 * Git
 * Jenkins
 * Jira
 * Confluence
 * Informatica
 * Oracle 19


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