{"id":3787543,"url":"https://alion.io/job/corailanalytics-data-engineer-confirme-oriente-plateforme-cloud","title":"Data Engineer confirmé, orienté plateforme cloud","company":{"id":4511330,"name":"Corail Analytics","domain":"corailanalytics.com","url":"https://alion.io/company/corailanalytics","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":"senior","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":55000,"max":65000,"currency":"EUR","period":"year","gross":null,"usd_annual":72972},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-03T09:34:10Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T09:46:33Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Rejoignez notre équipe en tant que Data Engineer confirmé, spécialisé dans les plateformes cloud. Vous serez responsable de la conception, du déploiement et de la fiabilisation des plateformes de données de nos clients. Vous travaillerez en étroite collaboration avec notre architecte cloud et prendrez progressivement en charge une partie de son périmètre. Vous bénéficierez d'un télétravail flexible, d'une formation interne, d'une mutuelle prise en charge à 100% par l'employeur, de 10 jours de RTT, d'une prime de cooptation, d'une carte Swile, d'un matériel de travail de qualité et d'un abonnement Gymlib avec abondement employeur.\nMissions\nAuditer une stack existante et proposer une architecture cible, avec une trajectoire réaliste pour l'équipe du client.\nConstruire les pipelines d'ingestion (API, bases de production, outils SaaS) et les orchestrer.\nDéployer l'infrastructure as code et automatiser les déploiements.\nProfil recherché\nIndispensable :\n4 à 7 ans d'expérience en Data Engineering, dont au moins 2 ans sur un cloud en production (GCP et/ou AWS).\n\nInfrastructure as code (Terraform ou équivalent) et CI/CD (GitHub Actions, GitLab CI).\n\nUn orchestrateur (Kestra, Airflow, Dagster) et un outil d'ingestion (Airbyte, dlt, connecteurs développés).\n\nUn data warehouse cloud (BigQuery, Snowflake ou Redshift), SQL avancé et 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