{"id":3002548,"url":"https://alion.io/job/verkor-ingenieur-process-formation-hf","title":"Ingénieur Process Formation H/F","company":{"id":685228,"name":"Verkor","domain":"verkor.com","url":"https://alion.io/company/verkor","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":81,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":117,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Energy","role_family":"Energy","seniority":null,"employment_type":"full_time","work_mode":"on_site","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":105000,"period":"year","method":null,"sample_n":565},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CAPA","optional":false},{"name":"MATLAB","optional":false},{"name":"Minitab","optional":false},{"name":"Python","optional":false},{"name":"Statistical Process Control","optional":false}],"status":"live","first_seen_at":"2026-10-08T06:50:47Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-11-03T17:18:38Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Rejoignez l’aventure Verkor !\nVerkor est une entreprise industrielle française en pleine expansion, pionnière dans la fabrication de batteries bas carbone. Soutenue par des leaders comme Renault, Plastic Omnium et Schneider Electric, notre mission est claire : électrifier l’avenir de la mobilité européenne.\nAvec plus de 1000 talents venus de 49 pays, nous construisons ensemble une Gigafactory ultra-moderne à Dunkerque, capable de produire 16 GWh de batteries lithium-ion par an, soit l’équivalent de 300 000 véhicules électriques.\nNous recherchons un(e) Ingénieur(e) Process au sein de notre unité autonome de production (UAP) Formation. Dans ce rôle, vous serez responsable de l’un des procédés de formation (cycles charge-décharge des cellules, vieillissement, dégazage, tests éléctriques etc).\nCe poste est basé au sein de notre Gigafactory, située à Bourbourg.\nMissions principales :\nMettre en place, valider et optimiser les recettes de formation (profils de charge/décharge).\n\nSurveiller les performances électriques après la formation : capacité, résistance interne, rétention de tension, courant de fuite.\n\nRésoudre les problèmes tels qu’une faible capacité, une résistance interne élevée, la production de gaz ou un comportement anormal de la tension.\n\nSuperviser le dégazage, le scellage final et les contrôles qualité post-formation.\n\nCollaborer avec la R&D pour évaluer les performances des cellules et favoriser l’amélioration continue.\n\nTravailler en étroite collaboration avec les services Qualité et Maintenance afin d’améliorer le rendement des machines et l'OEE.\n\nRéaliser des analyses des causes profondes (RCA) des défauts de formation et mettre en œuvre des actions correctives et préventives (CAPA).\n\nPréparer et tenir à jour les procédures opérationnelles standard (SOP), les instructions de travail, les plans de contrôle et les documents relatifs au déroulement des processus.\n\nRéaliser des plans d'expériences (DOE) afin d'optimiser les paramètres et d'améliorer le rendement.\n\nSuivre et analyser les données de processus à l'aide d'outils de contrôle statistique des processus (SPC), du système MES ou de logiciels d'analyse de données (par exemple, Minitab).\n\nVeiller au respect des normes HSE, des normes de manipulation des produits chimiques et des réglementations en matière de sécurité électrique.\n\nApporter votre soutien au lancement de nouveaux produits, aux activités de fabrication pilote et à la mise à l'échelle des procédés.\n\nPrérequis :\nDiplôme d’ingénieur en génie industriel, mécanique, électrique, matériaux ou domaine équivalent\nExpérience industrielle dans les procédés de fabrication, idéalement dans le domaine des batteries ou automobile.\nSolides compétences en analyse statistique et en traitement de données via des outils tels que Python, Matlab et Minitab\nCapacité à évoluer dans un environnement en phase de démarrage\n\nMaîtrise avancée de l’anglais et du français requise","description_format":"text","description_chars":2929,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Storage"],"lifecycle":[{"event":"open","at":"2026-10-21T12:43:11Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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