Ingénieur(e) Senior Fiabilité & Maintenance Prédictive (H/F)

TotalEnergies; Palaiseau; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

TotalEnergies recherche un ingénieur en fiabilité et maintenance prédictive pour soutenir l'optimisation des actifs renouvelables. Vous serez chargé de définir des cadres techniques tout en collaborant avec des équipes numériques pour garantir la robustesse des modèles analytiques.

Le candidat idéal possède une expérience solide dans les technologies solaires, éoliennes et de stockage d'énergie,couplée à une portée internationale. La diversité et l'égalité des chances sont valorisées chez TotalEnergies.

Qualifications

• Expérience avec des actifs solaires, éoliens et/ou de stockage d'énergie.
• Compréhension des comportements d'actifs, modes de défaillance et contraintes opérationnelles.
• Capacité à travailler avec des équipes numériques pour définir des solutions techniques.

Responsabilités

• Définir et maintenir des cadres techniques pour la fiabilité et la maintenance prédictive.
• Contribuer à des stratégies d'extension de la durée de vie des actifs.
• Fournir un soutien expert et du mentorat en ingénierie de fiabilité.

Connaissances

Expertise en technologies solaires PV

Compétences en analyses de données

Communication technique claire

Autonomie

Rigueur analytique

Formation

Diplôme d'ingénieur

Description du poste

Contexte et environnement

Integrated Power Modelling (IPM), in OneTech Technical Line Power, supports the company’s technological ambition in the digitalization of renewable energies value chain. It brings together cross‑domain expertise (scientific and digital) to deliver digital products with the goal of maximizing both the performance and value of renewable assets (solar, wind, energy storage). It is built around four platforms, each oriented toward internal business clients (GRP, REN, FPI, Trading, etc.): Origination & Design, Grid Integration, Operations Performance & Optimization, and Forecasting. Each platform is structured into three teams: Product Solutions (PS), Research & Capability Development (RCD) and Software Delivery & Operations (SDO). The Operations Performance & Optimization platform’s products focus on operational efficiency and the optimization of assets, with strong data/cloud integration and machine learning/optimisation orientation. As Reliability & Predictive Maintenance engineer, you will work in the RCD team, collaborating closely with Product Managers (in PS), Product Owners (in SDO), and other entities outside IPM (e.g., Digital Line, IT Department, Innovation Accelerator, TTE On…).

Activités

• Define and maintain technical frameworks for reliability, predictive maintenance, and health monitoring for solar, wind, and BESS assets (asset physics, failure mechanisms, and operational behavior), ensuring consistency and robustness across technologies.
• Translate the expertise into digital specifications by defining reliability and health requirements (KPIs, degradation indicators, failure signatures, predictive signals) based on deep understanding of equipment design, operating conditions, and field feedback.
• Design, develop, and validate analytical models and algorithms leveraging asset physics and data science techniques, including failure mode detection, degradation modeling, remaining useful life estimation, and automated diagnostics.
• Drive advanced analytics use cases from an engineering standpoint, ensuring that models and algorithms remain explainable, relevant for operations, and aligned with real asset behavior.
• Act as a technical interface with digital, IT, and data teams, ensuring that engineering assumptions, analytical needs and data quality constraints are correctly understood.
• Contribute to reliability and lifetime extension strategies by converting field experience, failure analyses, and model outputs into technical recommendations, standards, and design or operating improvements.
• Capitalise and structure knowledge through documentation (methodologies, models, data structures, architectures, lessons learned, best practices) to ensure long‑term maintainability, traceability, and reuse of developed solutions.
• Provide expert support and mentoring on reliability engineering, predictive maintenance methods, and modeling approaches to project teams and junior engineers, when required (without line or functional management responsibility).

Profil du candidat

• Engineer with strong expertise in solar PV, wind, and/or BESS technologies, with proven understanding of asset behavior, failure modes, degradation mechanisms, and operational constraints.
• Strong technical mindset with exposure to digital monitoring and data analytics, and the ability to work with digital experts to specify, challenge, and assess end‑to‑end technical solutions (from data acquisition to diagnostics).
• Comfortable working transversally with multiple engineering disciplines and stakeholders in an international environment.
• Recognised for analytical rigor, autonomy, and clear technical communication.
• Curious, forward‑looking, and able to anticipate evolutions in asset monitoring, reliability methods, and renewable technologies.

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.