{"id":4114531,"url":"https://alion.io/job/asap-technologies-data-engineer-gcp-bigquery-airflow-lille-hf","title":"Data Engineer GCP – BigQuery / Airflow – Lille (H/F)","company":{"id":3908445,"name":"ASAP Technologies","domain":"asapgroup.fr","url":"https://alion.io/company/asap-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lille, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":30000,"max":37000,"currency":"EUR","period":"year","gross":null,"usd_annual":41066},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T17:33:49Z","employer_posted_date":null,"last_verified_at":"2026-11-11T17:33:49Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Data Engineer GCP – BigQuery / Airflow – Lille (H/F)\nASAP Tech recherche un Data Engineer GCP pour accompagner l’un de ses clients dans le maintien et l’évolution de sa plateforme data à Lezennes, dans la métropole lilloise.\nL’opportunité est ouverte en freelance ou en CDI, avec 2 jours de télétravail par semaine.\nVous rejoindrez un environnement Google Cloud Platform, utilisé par les équipes produit et des agents IA. Votre rôle associera data engineering, exploitation de la plateforme et industrialisation, avec une forte dimension RUN.\nVos missions :\nConcevoir, maintenir et faire évoluer les pipelines ETL/ELT, en batch ou micro-batch.\n\nIntégrer des flux de sources multiples dans le Data Lake sur GCP.\n\nExploiter et optimiser BigQuery et Cloud Storage, notamment les performances des traitements et les coûts.\n\nMaintenir les traitements et leur orchestration avec Airflow / Cloud Composer : DAGs, planification et monitoring.\n\nGérer les accès IAM aux projets, datasets, tables et buckets, dans le respect du principe de moindre privilège.\n\nTraiter les anomalies et les demandes récurrentes liées au fonctionnement de la plateforme.\n\nContribuer à l’automatisation des déploiements avec Terraform ou équivalent, Git et les pipelines CI/CD.\n\nMettre en place des métriques, logs, alertes et tableaux de bord pour renforcer l’observabilité.\n\nParticiper au suivi FinOps, à la qualité et à la sécurité des données.\n\nProfil recherché\nVous disposez de 2 à 5 ans d’expérience en Data Engineering, avec une expérience opérationnelle sur GCP.\nLes compétences attendues sont :\nBigQuery et Cloud Storage.\n\nSQL avancé et Python appliqués aux pipelines de données.\n\nAirflow / Cloud Composer.\n\nConception et maintenance de pipelines d’ingestion et de transformation.\n\nGestion des droits IAM et compréhension des enjeux de sécurité des données.\n\nUne pratique de Terraform ou d’un outil équivalent, des déploiements CI/CD, du monitoring et de l’optimisation des coûts cloud est également recherchée.\nVous appréciez les sujets d’exploitation, la résolution d’incidents et l’amélioration continue d’une plateforme utilisée au quotidien par plusieurs 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