{"id":2017128,"url":"https://alion.io/job/catamania-data-engineer-gcp-python-spark-risque-de-credit-et-risques-climatiques","title":"Data Engineer GCP — Python / Spark, risque de crédit et risques climatiques","company":{"id":183709,"name":"Catamania","domain":"catamania.com","url":"https://alion.io/company/catamania","size_band":"1001-5000","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":"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":{"min":40000,"max":50000,"currency":"EUR","period":"year","gross":null,"usd_annual":56263},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-19T20:20:32Z","employer_posted_date":null,"last_verified_at":"2026-09-19T20:20:32Z","board_verified":false,"closed_at":null,"days_open":27,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":27},"description":"Un projet stratégique de la filière Risques d'un grand groupe bancaire : mesurer l'impact des risques climatiques et physiques sur le risque de crédit, sur Google Cloud.\nAu sein du domaine Risques de la DSI, le projet ingère, agrège et expose des données de sources multiples pour produire les rapports de surveillance du risque de crédit. La solution est bâtie sur Google Cloud Platform, portée par une équipe engagée et experte du sujet. Le projet est à forte visibilité : les critères d'expertise technique sont impératifs.\nVos principales missions :\nDévelopper et intégrer des solutions Python / Spark avec les services data et compute de Google Cloud Platform.\n\nIngérer, agréger et exposer des données issues de sources multiples.\n\nContribuer à la chaîne DevOps du projet : déploiements, infrastructure as code.\n\nCe que la mission vous apporte :\nUn sujet d'actualité réglementaire et sociétale : le risque climatique en banque.\n\nUne stack GCP complète, de l'ingestion à l'exposition.\n\nEnvironnement technique : GCP (BigQuery, Dataproc, Composer, Cloud Functions, Cloud Run Jobs, GCS), Python, Spark, XL Deploy, Terraform, Jenkins.\nProfil recherché\nData Engineer de 3 à 6 ans d'expérience. Excellente maîtrise de BigQuery, Dataproc, Composer, Cloud Functions, Cloud Run Jobs et GCS ; développement Python / Spark. Bonne maîtrise de la partie DevOps : XL Deploy, Terraform, Jenkins. Une expérience du risque de crédit est appréciée. 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