Maintenance Excellence Engineer

a {

text-decoration: none;

color: #464feb;

}

tr th, tr td {

border: 1px solid #e6e6e6;

}

tr th {

background-color: #f5f5f5;

}

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.

a {

text-decoration: none;

color: #464feb;

}

tr th, tr td {

border: 1px solid #e6e6e6;

}

tr th {

background-color: #f5f5f5;

}

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.

a {

text-decoration: none;

color: #464feb;

}

tr th, tr td {

border: 1px solid #e6e6e6;

}

tr th {

background-color: #f5f5f5;

}

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:

a {

text-decoration: none;

color: #464feb;

}

tr th, tr td {

border: 1px solid #e6e6e6;

}

tr th {

background-color: #f5f5f5;

}

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.

Ngành nghề: Cơ khí / Ô tô / Tự động hóa, Sản xuất / Vận hành sản xuất, Điện / Điện tử / Điện lạnh / Điện công nghiệp

Kinh nghiệm: 3 Năm

Cấp bậc: Nhân viên

Hình thức: Nhân viên chính thức

Địa điểm: Bình Dương