{"id":2013268,"url":"https://alion.io/job/nomadia-data-engineer-fh","title":"Data Engineer (F/H)","company":{"id":172880,"name":"Nomadia","domain":"nomadia.com","url":"https://alion.io/company/nomadia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":45000,"max":50000,"currency":"EUR","period":"year","gross":null,"usd_annual":56263},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-17T12:13:29Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T17:35:29Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Rejoignez notre équipe en tant que Data Engineer (F/H) et participez au développement de nos solutions d'intelligence artificielle. 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Vous travaillerez en étroite collaboration avec les Data Scientists, les équipes Produit et les métiers pour mettre en production les modèles et exploiter les données au service de l'innovation.\nMissions\nConcevoir, déployer et faire évoluer les infrastructures, pipelines et modèles permettant de transformer les données en solutions concrètes à forte valeur ajoutée.\nDéfinir et faire évoluer les pratiques MLOps : gestion des versions, monitoring, traçabilité et automatisation des modèles.\nConcevoir et maintenir les pipelines de traitement, transformation et valorisation des données.\nProfil recherché\n**Formation*** Bac +5 en informatique, intelligence artificielle, data science, statistiques ou équivalent.\n**Expérience**\n* Minimum de 2 ans d'expérience en Data Engineering, MLOps ou déploiement de solutions IA.\n* Expérience significative dans l'industrialisation et le déploiement de modèles de Machine Learning.\n* Première expérience sur des projets impliquant des architectures 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