{"id":3537051,"url":"https://alion.io/job/raedy-data-engineer-airflow-astronomer","title":"Data Engineer Airflow / Astronomer","company":{"id":3908587,"name":"Raedy","domain":"ipanema-consulting.com","url":"https://alion.io/company/raedy","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 Science","seniority":"senior","employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":77000,"period":"year","method":"role_country_seniority_unknown","sample_n":184},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"dbt","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T15:45:50Z","employer_posted_date":null,"last_verified_at":"2026-10-30T15:45:50Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Contexte de la missionDans le cadre d’un programme de modernisation de sa plateforme Data, notre client recherche un Data Engineer spécialisé en orchestration de pipelines de données pour renforcer ses équipes.\nLa mission s’inscrit dans un projet de migration de workflows d’orchestration actuellement gérés sous Azure Data Factory (ADF) vers Astronomer / Apache Airflow 3.\nIntégré au sein d’une équipe Data Engineering, vous interviendrez en renfort opérationnel auprès des équipes existantes. Rattaché au Principal Data Engineer, vous participerez activement à la migration, à la refonte et à l’optimisation des workflows et pipelines de données.\nLe poste est fortement orienté delivery, avec une collaboration étroite avec les Data Engineers de l’équipe.\nVos principales missionsConcevoir, développer et maintenir des DAGs et des pipelines de données sous Apache Airflow / Astronomer.\n\nMigrer et adapter les workflows d’orchestration existants vers la nouvelle plateforme.\n\nModifier et faire évoluer les étapes d’ingestion des données dans Astronomer.\n\nDéfinir et mettre en œuvre les stratégies d’ordonnancement et d’orchestration des workflows.\n\nAdapter, si nécessaire, les flux de transformation existants sous dbt.\n\nRéaliser les tests techniques et fonctionnels, valider les développements et contribuer à leur mise en production.\n\nRédiger la documentation technique des développements réalisés.\n\nIdentifier et mettre en œuvre des optimisations en matière de performance, de coûts, de fiabilité et de maintenabilité.\n\nAssurer le transfert de compétences auprès des membres de l’équipe.\n\nProfil recherché\nProfil recherchéVous justifiez de 3 à 5 ans d’expérience en Data Engineering, avec une solide maîtrise d’Apache Airflow et une expérience concrète dans la conception et l’évolution de pipelines de données.\nVous êtes à l’aise dans des environnements techniques exigeants et appréciez le travail en équipe, avec une forte orientation vers la réalisation et la livraison de solutions opérationnelles.\nVous disposez notamment des compétences suivantes :\nCompétences techniques indispensablesApache Airflow 3 / Astronomer : conception, développement et orchestration de DAGs.\n\ndbt : adaptation et gestion des transformations de données.\n\nSnowflake : manipulation et exploitation de données.\n\nAzure Blob Storage : gestion des flux et des données stockées.\n\nPython et SQL : développement et manipulation de données.\n\nExpérience sur un projet de migration d’orchestrateur ou de modernisation de pipelines Data.\n\nCompétences appréciéesExpérience avec Azure Data Factory (ADF).\n\nConnaissance des problématiques de migration de workflows entre différentes plateformes d’orchestration.","description_format":"text","description_chars":2683,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-30T17:56:15Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.893,"p_room":1,"age_days":8,"expected_fill_days":29,"reasons":["seen:8","velocity","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/raedy-data-engineer-airflow-astronomer","json_url":"https://alion.io/job/raedy-data-engineer-airflow-astronomer.json","meta":{"generated_at":"2026-11-08T13:41:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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