Maintenance Excellence Engineer

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The Maintenance Excellence Engineer is responsible for building and advancing the organization's Maintenance Excellence capabilities by transforming maintenance operations from a predominantly experience-based and reactive approach into a data-driven, reliability-focused, technology-enabled, and continuously improving function.

This position serves as a key driver of Maintenance Excellence and Transformation, with a primary focus on:

• Reliability Engineering
• Predictive Maintenance
• Technology Advancement
• Automation & Digitalization
• Performance Improvement
• Maintenance System Excellence
• Data & Asset Intelligence
• People & Knowledge Excellence

The Maintenance Excellence Engineer is not intended to replace the day-to-day operational and maintenance responsibilities of the Technical Operations or Asset & Maintenance Management teams. Instead, this role is responsible for designing, developing, piloting, improving, and standardizing new maintenance capabilities. Once validated and matured, these solutions will be transferred to the Asset & Maintenance Management team for long-term operation and sustainability.

This position plays a critical role in the company's strategy to elevate maintenance practices from a traditional Preventive Maintenance (PM) model to an Asset Performance & Reliability (APR) framework, aiming to improve equipment reliability, reduce downtime, increase Overall Equipment Effectiveness (OEE), and enhance factory automation capability.

Key Responsibility: Reliability & Maintenance Improvement

• Analyze equipment performance data and develop Predictive Maintenance solutions to improve machine reliability and asset performance.
• Implement Reliability-Centered Maintenance (RCM), Failure Mode and Effects Analysis (FMEA), and Root Cause Analysis (RCA) methodologies to optimize maintenance strategies.
• Analyze OEE, MTBF, and MTTR metrics to identify downtime causes and drive continuous improvement initiatives.
• Improve maintenance effectiveness through data-driven decision-making and reliability engineering practices.

Automation & Digital Transformation

• Develop and implement Automation, IoT/IIoT, and Digital Maintenance solutions.
• Identify and evaluate emerging technologies to enhance maintenance efficiency and equipment performance.
• Support factory digitalization initiatives, smart maintenance systems, and Industry 4.0 projects.

Data & Asset Intelligence

• Build maintenance dashboards, reporting tools, and data monitoring systems.
• Collect, analyze, and interpret maintenance and asset performance data to generate actionable insights.
• Establish data-driven maintenance management practices and asset intelligence capabilities.

Project Management & Standardization

• Participate in technical improvement projects, technology transfer initiatives, and process standardization programs.
• Develop standardized maintenance methodologies, procedures, and best practices.
• Support the deployment of maintenance excellence programs across the organization.

Training & Knowledge Development

• Assist in developing technical training materials and maintenance documentation.
• Facilitate knowledge sharing and capability development within maintenance teams.
• Promote a culture of continuous learning and operational excellence.

  

Bachelor’s degree in one of the following fields:

• Mechatronics Engineering
• Control & Automation Engineering
• Electrical/Electronics Engineering
• Mechanical Engineering
• Industrial Systems Engineering
• Computer Engineering
• Industrial Digitalization
• Industrial Information Technology (Industrial IT)
• Or other related technical disciplines

Working experience:

• Minimum 3-5 years of experience in Automation, Maintenance, Reliability Engineering, or related engineering functions

Technical Knowledge and Skills:

• Good understanding of:
  • PLC, HMI, SCADA systems
  • IoT/IIoT technologies
  • Predictive Maintenance concepts
  • CMMS/EAM systems
  • Lean Manufacturing
  • TPM (Total Productive Maintenance)
  • Kaizen methodologies
• Strong analytical and problem-solving skills.
• Experience with data analysis tools.
• Knowledge of Python, SQL, or Power BI is highly advantageous.
• Strong teamwork and communication skills.
• Continuous improvement mindset.

Prefer qualifications:

• Experience in:

  • Reliability Engineering
  • Industrial Automation
  • Smart Factory initiatives
  • Industry 4.0 implementation
  • Data Analytics

• Certifications or practical knowledge in:

  • Reliability-Centered Maintenance (RCM)
  • Failure Mode and Effects Analysis (FMEA)
  • Root Cause Analysis (RCA)
  • Predictive Maintenance
  • PLC/SCADA systems
  • Power BI
  • IoT/IIoT technologies

Career Opportunities:

• Participate in factory digital transformation and automation projects.
• Develop expertise in Reliability Engineering and Predictive Maintenance.
• Work with advanced technologies such as Automation, IIoT, Data Analytics, and Asset Performance Management.
• Enjoy a professional working environment with abundant opportunities for learning, growth, and career advancement.