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# Data Engineer Databricks & IA (H/F)

- **Company:** Winside Technology
- **Location:** Lille, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Programming Tools, Python (Programming Language), Performance Tuning, Power BI, SQL Databases, Technical Debt, Data Lakes, Databricks
- **Published:** June 12, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=86dd9fb9aab7176e

## About the Role

Expérience : 6 ans minimum en Data Engineering / BI / Data

Niveau : Senior

Expérience confirmée sur environnements Cloud / Lakehouse

Compétences clés : Databricks expert (Delta Lake, performance, optimisation)

Azure (souhaité, mais ouverture à d?autres cloud)

Python & SQL (notebooks)

Modélisation avancée de la donnée

Power BI (bonne compréhension des usages)

Expérience en IA / agents IA / développement assisté par IA

Capacité à concevoir avant de développer (approche architecturale forte)

## Description

MissionEn tant que Senior Data & AI Engineer, vous intervenez au c?ur de la plateforme Data pour :

Concevoir, modéliser et structurer les données (approche ?design first?)

Développer des pipelines robustes et performants

Mettre en place des architectures Data et IA (incluant agents IA)

Améliorer les pratiques de développement et la qualité globale des livrables

Collaborer étroitement avec les équipes métiers et BI

Responsabilités principales? Collecte et intégration des données (multi-sources)

? Modélisation de la donnée (schémas analytiques, SCD, modèles robustes)

?? Développement sous Databricks (notebooks Python / SQL)

? Optimisation des performances (volumétrie, coûts, traitements)

? Conception de modèles / composants IA (MCP, agents IA)

? Utilisation d?outils de développement assistés par IA (génération, refactoring, documentation)

? Préparation des datasets pour les usages BI (Power BI) et IA

? Mise en ?uvre de bonnes pratiques (qualité, tests, dette technique)


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