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Salary
≈ $46k – $73k per year (Estimated)
Location
Hybrid (France)
Seniority
Senior
Employment
Freelance

First seen by Alion on Oct 19, 2026.

Overview
Company
Impact
Profile match
Craftman Data is a French consultancy specialised in data, artificial intelligence and digital transformation. Its consultants are placed on client projects as data engineers, data scientists and technical leads working with GCP, Java, Python and Spark. The company is headquartered in Paris, France.

La Digital Factory Supply Chain conçoit et développe les services digitaux couvrant l'ensemble de l'approvisionnement, de la commande automatique en magasin à la gestion des fournisseurs, de la préparation en entrepôt au transport vers les points de vente.

La prestation s'inscrit dans le cadre du projet Data Supply, composante majeure de la transformation de l'architecture data et de la gouvernance Supply Chain.

Le projet s'articule notamment autour de :

  • La centralisation et la fiabilisation des données Supply Chain dans le Data Lake Phenix / Darwin sous GCP / BigQuery.

  • La valorisation et la diffusion des données auprès des métiers via des reportings, extractions automatisées et pushs mails.

  • La structuration et la modélisation des données afin de fournir aux décideurs métiers des indicateurs fiables, automatisés et ciblés.

 

Livrables attendus :

  • Modèles sémantiques, dictionnaires de données et référentiels de règles de gestion unifiés.

  • Scripts BigQuery et pipelines d'extractions/pushs automatisés.

  • Tableaux de bord BI sous Looker Studio / Tableau.

  • Cartographie des données sources et documentation des flux migrés.

Profil recherché

Compétences clés / Must Have :

  • Excellente maîtrise de SQL / BigQuery et capacité à rédiger et optimiser des requêtes complexes.

  • GCP (Google Cloud Platform).

  • Git, Google Dataform, Google Sheets AppScript, DBT, Airflow.

  • Création et optimisation de dashboards interactifs sous Looker Studio.

  • Identification et suivi des KPI critiques pour le pilotage métier.

  • Expérience significative en Data Analyse, idéalement dans le retail / grande distribution.

  • Bonne compréhension des architectures Data Lake / Data Warehouse.

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