{"id":3168565,"url":"https://alion.io/job/octogone-data-platform-data-ops-engineer-idf","title":"Data Platform & Data Ops Engineer - IDF","company":{"id":3908469,"name":"Octogone","domain":"octogoneit.fr","url":"https://alion.io/company/octogone-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","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":46000,"max_usd":77000,"period":"year","method":"role_country_seniority_unknown","sample_n":305},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"FinOps","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-23T13:49:20Z","employer_posted_date":null,"last_verified_at":"2026-10-23T13:49:20Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Contexte\nUn grand groupe industriel souhaite renforcer temporairement son équipe Data Platform au sein de sa Digital Factory afin d'accompagner l'accélération des projets Data et IA, l'augmentation des volumes de données et l'industrialisation des traitements de données.\nL'équipe Data Platform est responsable de la mise à disposition, de l'exploitation et de l'évolution des services permettant l'ingestion, le stockage, la transformation et la diffusion des données. Elle assure également la supervision, la sécurisation des flux et le support aux équipes Data Engineering, BI et métiers.\nDescription du poste\nLe consultant interviendra en tant que Data Platform & Data Ops Engineer avec une forte composante Cloud AWS, exploitation de plateformes Data et industrialisation des environnements.\nAdministration et exploitation Data Platform\n• Administrer et maintenir les plateformes de données.\n• Gérer les pipelines d'intégration et les déploiements.\n• Administrer les environnements DEV, TEST et PROD.\n• Gérer les espaces de stockage, les accès et les habilitations.\n• Garantir la disponibilité et la sécurité des plateformes.\nArchitecture et infrastructure DataOps\n• Concevoir et maintenir des architectures Data sur AWS.\n• Automatiser le provisionnement d'infrastructure via Terraform.\n• Optimiser les coûts Cloud (FinOps).\n• Assurer la scalabilité, la résilience et la sécurité des services Data.\nIndustrialisation et DevOps\n• Mettre en place et maintenir les chaînes CI/CD.\n• Automatiser les déploiements et les tests.\n• Standardiser les composants Data.\n• Améliorer continuellement les processus d'exploitation.\nSupport et expertise technique\n• Assurer le support N2/N3 des plateformes Data.\n• Diagnostiquer et résoudre les incidents complexes.\n• Accompagner les équipes Data Engineering et BI.\n• Réaliser des analyses de performance et de capacité.\nMonitoring et observabilité\n• Mettre en oeuvre les solutions de supervision.\n• Définir les alertes et tableaux de bord opérationnels.\n• Assurer le suivi des SLA et indicateurs de performance.\n• Anticiper les risques de saturation ou de dégradation des services.\nGouvernance et transformation\n• Contribuer aux standards de la Data Platform.\n• Participer aux revues d'architecture.\n• Documenter les procédures et bonnes pratiques.\n• Accompagner les projets de migration Cloud et les évolutions de plateforme.\nLivrables attendus\n• Templates d'infrastructure automatisés (IaC).\n• Pipelines CI/CD industrialisés.\n• Documentation d'exploitation.\n• Procédures de déploiement et de supervision.\n• Runbooks et modes opératoires.\n• Dossiers techniques d'architecture.\n• Reporting d'activité.\n• Plans de remédiation des incidents majeurs.\n• Supports de transfert de compétences.\n• Documentation des processus d'automatisation et d'exploitation.\nProfil recherché\nProfil recherché\n• Minimum 5 ans d'expérience sur des environnements Data Platform.\n• Expérience significative en DevOps / DataOps.\n• Expérience en exploitation de plateformes de données critiques.\n• Maîtrise des environnements Cloud AWS.\n• Expérience de mise en place de chaînes CI/CD.\n• Capacité à travailler avec les équipes Data Engineering, BI et Architecture.\n• Forte autonomie et excellent niveau technique.\nCompétences clés obligatoires\n• Architecture\n• Architecture d'entreprise\n• 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