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Location
Hybrid (Casablanca, Morocco)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Jun 9, 2026. Inetum scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Inetum is a European digital services company founded in France in 1970 as Gfi Informatique and renamed in 2021 after its acquisition by the private equity firm Bain Capital. It provides consulting, application development, infrastructure and managed services to clients across roughly twenty countries, with particular strength in France, Spain, Portugal and Belgium and a large nearshore delivery base in Morocco and Eastern Europe. Alongside services the group publishes its own software for public administration, human resources and finance, which gives it recurring licence revenue that pure services competitors lack.

Inetum est un leader européen des services numériques. Pour les entreprises, les acteurs publics et la société dans son ensemble, les 28 000 consultants et spécialistes du Groupe visent chaque jour l’impact digital : des solutions qui contribuent à la performance, à l’innovation et au bien commun. Présent dans 19 pays au plus près des territoires, et avec ses grands partenaires éditeurs de logiciels, Inetum répond aux enjeux de la transformation digitale avec proximité et flexibilité. Porté par son ambition de croissance et d’industrialisation, Inetum a généré en 2023 un chiffre d’affaires de 2,5 milliards d’euros.

Mission principale

Concevoir, développer et maintenir des pipelines de données robustes et performants dans l’environnement Microsoft Fabric, en collaboration avec les équipes métiers et les architectes.

Responsabilités

  • Développer des pipelines d’ingestion et de transformation (Data Factory, Notebooks, Dataflows Gen2)
  • Participer à la modélisation des données dans les Lakehouses
  • Assurer la qualité, la traçabilité et la performance des traitements
  • Collaborer avec les Data Analysts pour alimenter les modèles Power BI
  • Documenter les flux, les règles de gestion et les bonnes pratiques
  • Participer aux tests, à l’industrialisation et au support des solutions

Compétences requises

  • Maîtrise de Microsoft Fabric (Data Factory, Lakehouse, Synapse, Power BI)
  • Bon niveau en SQL, Spark, Python
  • Connaissance des principes de modélisation de données (dimensionnelle, normalisée)
  • Sens du travail en équipe, rigueur, autonomie
  • Expérience : 3 à 6 ans en ingénierie data
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