{"id":2026968,"url":"https://alion.io/job/mpdata-lead-data-engineer-architecture-scalabilite","title":"Lead Data Engineer - Architecture & Scalabilité","company":{"id":3908694,"name":"MP Data","domain":"mpdata.fr","url":"https://alion.io/company/mpdata","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boulogne-Billancourt, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":121000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Collibra","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"EU AI Act","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SSIS","optional":false},{"name":"Teradata","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-13T15:38:44Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T14:15:49Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"Rejoins MP Data, une entreprise spécialisée dans la transformation digitale et l'optimisation des données. En tant que Lead Data Engineer, tu seras responsable de la conception, de la scalabilité et de la robustesse des solutions de données. Tu travailleras en étroite collaboration avec les Business Managers et les équipes techniques, et tu mentoras les Data Engineers juniors. Ce poste offre une opportunité unique de travailler sur des projets ambitieux et complexes avec des clients de renom tels que Michelin, Airbus, Sanofi et SNCF.\nMissions\nParticiper à la performance des pipelines data, en particulier pour les migrations cloud massives et les architectures complexes.\nAuditer les architectures existantes, diagnostiquer les problèmes et proposer des stratégies adaptées aux contraintes du client.\nMentorer les Data Engineers juniors et travailler en étroite collaboration avec les Business Managers et les équipes techniques.\nProfil recherché\n**Formation & expérience*** Diplôme d'ingénieur ou Master en informatique (Bac+5) d'une école du top 10\n* Minimum 5 ans d'expérience, dont 3 sur des archi complexes en production\n* Expérience sur des migrations cloud et des projets à grande échelle\n**Compétences techniques indispensables**\n* Maîtrise solide de Python et/ou Scala ; Spark/PySpark avancé\n* Expérience sur les modernes data stack : Databricks, Snowflake, ou équivalent\n* Connaissance approfondie d'un cloud public & de l'IaaC avec Terraform\n* Implémentation d'agents & solutions GenAI\n* Orchestration : Airflow ou Dagster en prod\n* Usage approfondi des outils d'assistance au développement\n* Bonnes pratiques de développement & d'industrialisation du code\n**Compétences techniques appréciées**\n* Expérience avec Kafka ou autres systèmes event-driven\n* DBT pour la transformation ; 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