{"id":4246180,"url":"https://alion.io/job/lr-technologies-data-engineer-senior-hf","title":"Data Engineer Senior H/F","company":{"id":2141729,"name":"LR Technologies","domain":"lrtechnologies.fr","url":"https://alion.io/company/lrtechnologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":86,"open_postings":96,"ghost_share":0,"stale_share":0.552,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nantes, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-13T10:16:29Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:44:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Dans le cadre de l’accompagnement de notre client, nous recherchons un Data Engineer Senior pour rejoindre le pôle Data Services.\nVous interviendrez sur la conception, l’industrialisation et l’évolution des solutions Data, avec un rôle clé dans les choix d’architecture et le développement des infrastructures de traitement des données.\nVous contribuerez notamment à la stratégie Lakehouse de l’entreprise, en veillant à la performance, à la fiabilité et à la qualité des flux de données.\nVos missions :\nConcevoir, développer et optimiser des pipelines de données à grande échelle ;\n\nMettre en œuvre des flux de données batch, streaming et des mécanismes d’ingestion via API ;\n\nStructurer les transformations de données selon le modèle Médaillon (Bronze / Silver / Gold) ;\n\nDévelopper et industrialiser les pipelines avec DBT, Spark et Apache Iceberg ;\n\nParticiper à la conception et à l’évolution de l’architecture Lakehouse ;\n\nDéployer et maintenir les pipelines dans un environnement Cloud AWS ;\n\nOrchestrer les workflows ETL/ELT avec Airflow ;\n\nMettre en œuvre l’Infrastructure as Code avec Terraform ;\n\nExécuter et superviser les traitements dans des environnements conteneurisés (Docker, Kubernetes) ;\n\nGarantir la disponibilité, la supervision et l’observabilité des traitements ;\n\nDéfinir et appliquer les règles de qualité des données : tests, contrôles et validations automatisées ;\n\nParticiper à la gestion des incidents et à l’amélioration continue ;\n\nDocumenter les architectures, les pipelines et les règles métier ;\n\nVeiller à la conformité des flux de données, notamment au regard du RGPD.\n\nVotre profil\nVous justifiez d'au moins 8 ans d'expérience en Data Engineering et disposez d'une solide expertise dans les architectures Big Data et Lakehouse.\nVous maîtrisez impérativement les technologies suivantes :\nDBT\n\nApache Iceberg\n\nAWS : Glue, EMR, S3…\n\nPython\n\nApache Spark\n\nModélisation Médaillon (Bronze / Silver / Gold)\n\nVous avez également des connaissances sur les environnements et outils suivants :\nTerraform\n\nDatadog\n\nAirflow\n\nTrino / Starburst\n\nDocker et Kubernetes\n\nAu-delà de vos compétences techniques, vous êtes reconnu(e) pour votre capacité d'analyse, votre autonomie et votre rigueur. 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