{"id":1805010,"url":"https://alion.io/job/capgemini-lead-data-engineer-spark-scala","title":"Lead Data Engineer Spark / Scala","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1782,"ghost_share":0.001,"stale_share":0.803,"repost_share":0.013,"time_to_fill_p50_days":28,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lyon, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":98000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Hadoop","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-01T11:12:42Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-30T11:20:17Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":27},"description":"Choisir Capgemini, c'est choisir une entreprise où vous serez en mesure de façonner votre carrière selon vos aspirations. 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Rejoignez-nous pour redéfinir les limites de ce qui est possible, contribuer à libérer la valeur de la technologie pour les plus grandes organisations et participer à la construction d’un monde plus durable et inclusif.\nVos missions\nEn tant que Data Engineer - Spark/Scala Specialist, au sein de la practice Insights & Data, vous serez amené à intervenir sur les sujets suivants :\nParticiper aux ateliers de conception et au développement des architectures data de nos clients\nContribuer à la création de stratégies d’extraction des données\nApporter votre expertise dans le développement et l’optimisation des flux d'ingestion de données\nCoordonner les activités des développeurs\nÊtre référent technique, garantir la qualité du code et être force de proposition sur les aspects d’architecture\nFavoriser le processus d'amélioration continue au sein de l'équipe et suivre les indicateurs de performance\nVotre profil\nÀ partir de 6 ans d’expérience (hors stages et alternances)\nVous disposez d’une expérience de plusieurs années sur les technologies et projets Big Data et vous maîtrisez les technologies suivantes : Spark/Scala et son écosystème (Hadoop, HDFS, MapReduce, Hive et Kafka)\nVous avez idéalement déjà encadré techniquement des équipes de développement et contribué à leur montée en compétences\nQuelques raisons de nous rejoindre\nProjets variés et innovants : intervenez sur des missions à fort impact dans des secteurs durables et technologiques (énergies renouvelables, transports, IA, data…), avec des opportunités d’évolution.\nApprentissage en continu : accédez à des ressources dédiées telles que notre GenAI Campus, certifications techniques (SAP, databricks, Agile…) et des plateformes de formation. \nÉvénements et partenariats : participez à des conférences sectorielles et événements partenaires (AWS, Snowflake, SAP…).\nNos engagements et priorités\nLe groupe Capgemini encourage une culture inclusive dans un cadre multiculturel et handi-accueillant. 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