{"id":2191078,"url":"https://alion.io/job/smart-point-tech-lead-big-data","title":"Tech lead Big Data","company":{"id":2390068,"name":"Smart 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Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"FinOps","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T15:37:51Z","employer_posted_date":null,"last_verified_at":"2026-10-09T15:37:51Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Smartpoint, ESN spécialisée dans la Data et l’IA, recherche un Tech Lead Big Data / Data Engineer expérimenté pour renforcer une équipe Data au sein de la DSI d’un grand environnement SI.\nVous interviendrez sur des enjeux de gestion de l’obsolescence technique, d’optimisation des traitements Big Data et d’accompagnement des équipes Data Engineering, avec pour objectif d’améliorer la performance, la qualité et la pérennité des applications.\n\nVos missions\nEn tant que Tech Lead Big Data, vous serez amené(e) à :\nPiloter la gestion de l’obsolescence : auditer les versions des composants applicatifs, identifier les risques et planifier les migrations techniques.\n\nDéfinir et diffuser les bonnes pratiques de développement auprès des équipes Data Engineer.\n\nAnalyser et optimiser les traitements Big Data afin d’améliorer les performances, de maîtriser les coûts et de contribuer aux objectifs FinOps.\n\nIntervenir sur les développements de données et accompagner la résolution de bugs complexes.\n\nAccompagner les équipes techniques dans leurs choix d’architecture, leurs évolutions technologiques et leurs montées de version.\n\nCollaborer avec les équipes Socle et Infrastructure pour organiser et réaliser les migrations des composants.\n\nAnimer les instances de suivi de l’obsolescence et communiquer les risques, les avancées et les recommandations aux équipes de pilotage.\n\nProposer des orientations techniques et des solutions innovantes pour faire évoluer l’écosystème Data.\n\nProfil recherché\nVous disposez d’une solide expérience de minimum 7 ans en Data Engineering et avez déjà exercé un rôle de référent technique ou de Tech Lead dans un environnement Big Data.\nCompétences techniques indispensables :\nDatabricks sur Microsoft Azure : expertise de la plateforme.\n\nApache Spark, Python et Scala : développement, analyse de code et optimisation des traitements.\n\nÉcosystème Azure Data : Azure Data Factory et Azure Data Lake Storage.\n\nSQL, PostgreSQL et modélisation des données.\n\nPower BI : maîtrise de l’environnement de restitution et de visualisation des données.\n\nArchitecture Big Data : maîtrise des architectures en couches et des flux de traitement.\n\nCI/CD et déploiement : connaissance de Git, Jenkins, Maven et Ansible.\n\nCompétences transverses :\nExcellente capacité d’analyse et de résolution de problèmes complexes.\n\nMaîtrise des bonnes pratiques de développement et des méthodes agiles.\n\nLeadership technique et capacité à accompagner, conseiller et faire monter en compétences les équipes.\n\nAutonomie, dynamisme, rigueur et excellent relationnel.\n\nCapacité à interagir avec de nombreux interlocuteurs et à proposer des solutions pragmatiques et innovantes.\n\nPourquoi rejoindre cette mission ?Vous interviendrez sur des enjeux structurants de modernisation du patrimoine applicatif Data, avec un rôle clé dans la performance des traitements, la maîtrise des coûts cloud et la diffusion des bonnes pratiques 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