{"id":3986246,"url":"https://alion.io/job/metaline-developper-data-engineer-fhx","title":"Développer Data Engineer (F/H/X)","company":{"id":2681229,"name":"Metaline","domain":"metaline.fr","url":"https://alion.io/company/metaline-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":84,"open_postings":15,"ghost_share":0,"stale_share":0.8,"repost_share":0.067,"time_to_fill_p50_days":16,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","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":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T16:33:53Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T10:08:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"METALINE est une ESN spécialisée dans l’infogérance, les services managés, le Data Center et le Digital Work Place.\nFondée avec l’ambition d’accompagner les entreprises dans la gestion et l’optimisation de leurs infrastructures IT, METALINE a su évoluer pour répondre aux enjeux technologiques d’aujourd’hui et de demain. Dans le cadre de notre croissance et pour répondre aux besoins spécifiques de l’un de nos clients, nous recherchons un.e Développer Data Engineer pour une mission stratégique.\nSi vous souhaitez évoluer dans un environnement dynamique et relever des défis stimulants au sein d’une équipe engagée, cette mission est faite pour vous !\nMissions principales\nConcevoir l’architecture technique et les solutions de traitement de données pour les différents cas d’usage métier.\n\nDévelopper et industrialiser les pipelines de données sur Databricks et Spark, en Python et en SQL.\n\nRéaliser les croisements de données ainsi que les travaux de validation, de correction et de qualité.\n\nOrganiser les données en tenant compte de leur cycle de vie, et identifier les sources pertinentes.\n\nVeiller à la cohérence de l’intégration des données dans les projets accompagnés, et au respect des exigences de sécurité.\n\nAppliquer et documenter la gouvernance des données avec les architectes Data, et maintenir à jour les référentiels et catalogues de données.\n\nContribuer à la restitution des données avec Power BI.\n\nApporter votre expertise technique et vos conseils aux équipes projet.\n\nProfil recherché\nCompétences techniques\nDatabricks : expert (impératif)\n\nSpark / PySpark : expert (impératif)\n\nAzure (Data Factory, Data Lake, Synapse…) : confirmé (impératif)\n\nPower BI : confirmé (impératif)\n\nPython et SQL : maîtrise avancée\n\nBonnes pratiques de gouvernance, de qualité et de sécurité des données\n\nAptitudes et Compétences Relationnelles\nPolyvalence et capacité à intervenir de la conception jusqu’à la restitution.\n\nAutonomie, rigueur et sens de la qualité.\n\nCapacité à conseiller et à vulgariser auprès des équipes métier et projet.\n\nEsprit d’équipe et aisance à l’oral.\n\nFrançais courant (impératif).\n\nExpérience et formation\nBac+5 en informatique, data ou école d’ingénieurs, ou équivalent.\n\nAu moins 4 ans d’expérience en tant que Data Engineer, dont une expérience significative sur Azure Databricks.\n\nUne expérience dans le retail ou la grande distribution est un plus.\n\nUn test technique sera réalisé sur site pendant le processus de recrutement.\n\nProcess de recrutement\nPremier échange téléphonique avec un Responsable recrutement Metaline\n\nUn Entretien Technique\n\nRencontre avec le client","description_format":"text","description_chars":2608,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-11-09T21:43:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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