TotalEnergies is a multi-energy company that produces and markets energy on a global scale: oil and biofuels, natural gas and green gas, renewables, and electricity. Our 105,000 employees are committed to making energy more affordable, cleaner, reliable, and accessible to as many people as possible. Present in over 130 countries, TotalEnergies places sustainable development in all its dimensions at the heart of its projects and operations to contribute to the well-being of people.

 TotalEnergies has been present in Italy for over 70 years. Its activities span the entire energy sector value chain, operating through various companies located throughout the country.

 At TotalEnergies, we invest in people and developing their talent. We consider safety, health, and respect for human rights our priorities. Hence, we are committed to ensuring a safe, inclusive, and innovative professional environment where collaboration and listening are part of our model. We place people at the center, ensuring a balance between work and private life, promoting flexibility and well-being, company welfare, and meal vouchers, within a culture that celebrates success and shares moments of conviviality.

TotalEnergies will review the received applications, giving care and attention to the values of Diversity and Inclusion.

The position involves developing and implementing predictive maintenance strategies to optimize the reliability and performance of industrial equipment. Predictive maintenance leverages continuous data analysis to estimate the remaining operational life of machinery and components, enabling timely interventions to reduce downtime, enhance efficiency, and minimize environmental impacts:

• Develop predictive maintenance practices for critical equipment, utilizing techniques such as gas chromatography, electrical insulation analysis, vibration analysis, and more.
• Collect, monitor, and analyze operational data and IoT inputs to identify potential or emerging failure modes.
• Design predictive maintenance programs using advanced data analysis and machine learning techniques.
• Collaborate with technical teams to integrate new sensors, monitoring technologies, and organize planned interventions.
• Define key performance indicators (KPIs) to monitor equipment reliability and availability.
• Plan and coordinate preventive and corrective maintenance activities with production teams, ensuring optimal management of equipment operational hours.

This role requires a proactive approach to maintenance and collaboration with cross-functional teams to ensure operational excellence and cost efficiency.

• Master’s degree in mechanical or electrical engineering.
• At least 2 years of experience in roles related to predictive maintenance.
• Strong knowledge of monitoring and sensor technologies.
• Advanced proficiency in data analysis and trend interpretation.
• Fluency in English and Italian.