{"id":2025092,"url":"https://alion.io/job/savane-group-data-engineer-analytics-engineer-hf","title":"Data Engineer /Analytics Engineer H/F","company":{"id":3909440,"name":"Savane Group","domain":"savane-group.com","url":"https://alion.io/company/savane-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":52,"open_postings":10,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rennes, 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collaboration directe avec le Product Owner, vous serez responsable de l’implémentation des cas d’usage liés à la performance et aurez une vraie responsabilité sur la conception de l’architecture analytique et la modélisation des données.\n\nMissions principales\nConcevoir et faire évoluer l’architecture OLAP de la plateforme\nModéliser les données selon les approches Kimball / étoile / flocon\nDévelopper et optimiser les transformations SQL et les modèles analytiques\nConcevoir les pipelines d’ingestion et d’orchestration avec Apache Airflow\nDévelopper des DAGs Python robustes, modulaires et maintenables\nIntégrer les données issues de bases OLTP vers l’environnement analytique\nStructurer les transformations avec dbt\nImplémenter et maintenir la couche sémantique avec Cube.js\nConcevoir les dashboards et métriques métiers sous Apache Superset\nOptimiser les performances, le cache et la gestion des droits d’accès / RLS\nParticiper à l’industrialisation des développements avec Git et Docker\nProfil recherché\n3 à 5 ans d’expérience en tant qu’Analytics Engineer, Data Engineer ou profil similaire\nExcellente maîtrise de SQL\nSolide expérience en Data Modeling et architectures OLAP\nCapacité à concevoir une architecture analytique de zéro\nBonne maîtrise d’Apache Airflow et Python\nExpérience avec Apache Superset\nConnaissance de ClickHouse et/ou PostgreSQL\nMaîtrise de dbt fortement appréciée\nConnaissance de Cube.js\nBonnes pratiques Git & Docker\nAutonomie, esprit produit et capacité à travailler étroitement avec les équipes 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