Electrical Maintenance Engineer

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Inspire Motion for Life with Michelin! A pioneer of engineered materials, Michelin is building the world’s leading manufacturer of life-changing composites and experiences. Join Michelin Asia Pacific (Thailand) as a Electrical Maintenance Engineer and play a key role in improving equipment reliability, maintenance performance, and manufacturing efficiency through technical expertise and data-driven decision-making.

WHY MICHELIN THAILAND?

• Career Progression: Develop expertise across maintenance engineering, equipment reliability, data analytics, and digital manufacturing, with opportunities to grow into technical expert, reliability, or engineering leadership roles.
• Wellbeing and Inclusion: Experience a supportive and inclusive culture that values safety, collaboration, continuous learning, and new ideas.
• Become a Player in a Dynamic Global Brand: Join a global leader committed to engineering excellence, digital transformation, and sustainable manufacturing performance.

OUR TEAM We aim to maximize equipment availability, reliability, and performance through effective maintenance strategies, technical problem-solving, and data-driven continuous improvement.

MISSION In This Role, He/she/they Will

• Drive maintenance and equipment reliability:Provide technical support for machines and equipment within the assigned area, ensuring maintenance activities comply with safety, quality, environmental, and operational standards while improving equipment reliability and availability.
• Optimize maintenance performance: Develop and improve maintenance plans, analyze equipment performance, and implement preventive and corrective actions to reduce breakdowns, optimize maintenance resources, and improve TRS/OEE performance.
• Turn maintenance data into actionable insights: Collect, analyze, and visualize maintenance and equipment data to identify improvement opportunities, support decision-making, and strengthen the team's digital capabilities in collaboration with digital and cross-functional teams.

Key Responsibilities

• Providing technical support for machine breakdowns, troubleshooting, and recurring equipment issues
• Developing and optimizing preventive and corrective maintenance plans
• Analyzing equipment failures and implementing sustainable corrective actions
• Monitoring and improving equipment reliability, availability, breakdown duration, cycle time, and TRS/OEE performance
• Optimizing maintenance resources, spare-parts consumption, and equipment energy efficiency
• Ensuring maintenance activities comply with safety, environmental, quality, technical, and traceability requirements
• Assessing the impact of equipment modifications on reliability, quality, and maintenance efficiency
• Maintaining accurate technical documentation, equipment files, and Bills of Materials (BOM)
• Collecting, validating, and analyzing maintenance and operational data
• Developing dashboards and visualizations to communicate performance trends and improvement opportunities
• Translating data insights into practical recommendations for maintenance and operational teams
• Ensuring appropriate data quality, security, and responsible data usage
• Coaching maintenance teams on technical methods, troubleshooting practices, and digital competencies
• Acting as a bridge between maintenance teams, technical experts, engineering partners, subcontractors, and digital teams

Required WHO WE ARE LOOKING FOR

• Bachelor’s Degree or higher in Electrical Engineering or related fields
• Experience in maintenance engineering, reliability engineering, manufacturing, or industrial operations (internship experience is included)
• Good understanding of preventive and corrective maintenance principles and equipment reliability
• Strong analytical and structured problem-solving skills
• Ability to work with operational data and translate findings into improvement actions
• Good communication, teamwork, and cross-functional collaboration skills
• Business proficiency in Thai and English

Preferred

• Experience with data visualization or analytics tools such as Power BI, Excel, or similar tools
• Knowledge of CMMS, maintenance management systems, or equipment performance monitoring
• Interest in Industry 4.0, IoT, predictive maintenance, and digital manufacturing