{"id":2099917,"url":"https://alion.io/job/ucase-consulting-data-engineer-senior-python-sql-dbt-airflow","title":"Data Engineer Senior Python / SQL / dbt / Airflow","company":{"id":3908452,"name":"Ucase Consulting","domain":"ucase-consulting.com","url":"https://alion.io/company/ucase-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data 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à tous 😀\n\nContexte de la mission :\nNous recherchons un Data Engineer capable d'intervenir en autonomie sur l'ensemble du cycle de vie des pipelines de données de notre client!\nMissions principales :\nConcevoir, développer et maintenir des pipelines de données de bout en bout.\n\nAssurer l'ingestion, la transformation et la modélisation des données.\n\nDévelopper des traitements en Python / SQL / dbt.\n\nOrchestrer les flux de données avec Airflow.\n\nGarantir la qualité des données à travers les tests, la documentation et les bonnes pratiques de développement.\n\nParticiper à l'amélioration continue de la plateforme Data Foundation.\n\nCollaborer avec les équipes techniques et métiers dans un environnement international.\n\nEnvironnement technique :\nPython | SQL | dbt | Airflow | Snowflake | GitLab | CI/CD | Tableau\nInformations pratiques :\nLocalisation : Île-de-France\n\nDémarrage : 19 ou 26 octobre 2026\n\nDurée : Mission longue\n\nTélétravail : À confirmer\n\nDéplacements / astreintes : Aucun\n\nProfil cible : Data Engineer Senior / Data Engineer Python-dbt / Analytics Engineer avec une forte dimension Engineering.\nMots-clés sourcing : Data Engineer, Senior Data Engineer, Python, SQL, dbt, Airflow, Snowflake, Data Foundation, Data Platform, Analytics Engineer.\nProfil recherché\nCompétences obligatoires :\n5 ans d'expérience minimum en Data Engineering.\n\nExcellente maîtrise de Python, SQL et dbt.\n\nExpérience confirmée sur Airflow.\n\nMaîtrise de Git / GitLab et CI/CD.\n\nAutonomie sur la conception et la mise en production des pipelines.\n\nBonnes pratiques de développement : Clean Code, tests, documentation.\n\nAnglais B2 minimum.\n\nCompétences appréciées :\nSnowflake.\n\nOutils d'ingestion de données.\n\nExpérience Data Foundation / Data 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