{"id":2008494,"url":"https://alion.io/job/vademi-data-engineer-databricks-azure-squad-supply-chain-hf","title":"Data Engineer Databricks / Azure – Squad Supply Chain (H/F)","company":{"id":3908423,"name":"Vademi","domain":"vademi.com","url":"https://alion.io/company/vademi","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Châtillon, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":460,"max":470,"currency":"EUR","period":"day","gross":null,"usd_annual":132250},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Jira","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T13:37:29Z","employer_posted_date":null,"last_verified_at":"2026-09-23T13:37:29Z","board_verified":false,"closed_at":null,"days_open":27,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":27},"description":"Vous voulez voir vos pipelines faire tourner la logistique d'un géant de la distribution ? Cette mission est pour vous. \nVADEMI recherche un Data Engineer confirmé / senior pour rejoindre la Data Factory d'un grand groupe national de la distribution, en pleine accélération. Après de premiers succès, la Data Factory passe à l'échelle : nouvelle organisation Agile en Domaine / Tribu / Squad, industrialisation des pratiques et livraisons accélérées. \nVous intégrez la Squad Supply / Logistique, qui conçoit des produits BI, Analytics et Data Science sur une plateforme Azure + Databricks. Vos traitements alimentent concrètement les entrepôts, les magasins et les consommateurs. \nVos missions :\n - Recueillir les besoins métier et analyser les données\n - Concevoir et construire des pipelines de données au sein du Data Lake \n- Développer des notebooks Databricks pour des traitements avancés (PySpark / Spark SQL)\n - Optimiser les traitements et tuner les requêtes SQL (Cloud Data Warehousing) \n- Réaliser les revues de code et les tests unitaires\n - Assurer la QA / le testing des pipelines de votre binôme Data Engineer\n - Construire des tableaux de bord Power BI - Rédiger la documentation technique (Dossiers d'Analyse Technique, release notes)\n - Livrer en continu via une chaîne CI/CD Azure DevOps\nPourquoi nous rejoindre ? \n- Un rôle complet et à fort impact, du besoin métier jusqu'au dashboard \n- Une stack moderne : Azure, Databricks, Spark, Lakehouse, CI/CD\n - Un environnement Agile structuré, au cœur de la Supply Chain d'un leader du retail \n- Un rythme hybride : 2 jours de télétravail par semaine \n- Une mission en régie jusqu'à fin décembre 2026, avec perspective de prolongation \nDémarrage : dès que possible (fin septembre au plus tard) – Châtillon (92), 3 jours par semaine sur site. Processus : après votre candidature, nous vous transmettrons une grille de compétences à compléter. Un test technique est prévu en présentiel lors de l'entretien client.\nProfil recherché\nVous justifiez d'au moins 5 ans d'expérience en Data Engineering (hors stage et alternance), dont 3 ans minimum sur Databricks, Azure (Data Factory, DevOps) et Spark.\nIndispensable :\n- Python et SQL : 5 ans minimum, avec une vraie maîtrise de l'optimisation et du tuning\n- Databricks, Azure et Spark : niveau confirmé, 3 ans minimum\n- CI/CD et Azure DevOps : 3 ans minimum\n- Au moins 1 an en mode Agile (Scrum, Jira)\n- Français courant\nLes plus qui feront la différence :\n- Expérience Power BI\n- Première mission en Supply Chain / Logistique ou dans le retail\n- Architecture Lakehouse (Delta Lake, Unity Catalog)\n- Certifications Databricks Data Engineer, DP-203 / DP-700 ou PL-300\nVous êtes polyvalent, aussi à l'aise pour construire que pour tester, force de proposition, rigoureux et réactif ? 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