Maintenance Excellence Engineer
Hạn nộp hồ sơ: 11/09/2026 (Còn 17 ngày)
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Mô tả công việc
Mô tả Công việc
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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.
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.
Yêu cầu
Yêu Cầu Công Việc
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.
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.
Quyền lợi
Chế độ bảo hiểm
Phụ cấp
Xe đưa đón
Chế độ thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Nghỉ phép năm
Phụ cấp
Xe đưa đón
Chế độ thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Nghỉ phép năm
Thông tin chung
- Thu nhập: Cạnh tranh
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Thông tin công việc
Vị trí:
Nhân viên
Hình thức làm việc:
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Trợ lý OE (Xử lý & Phân tích Dữ liệu)
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