Maintenance Engineer

DART SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading contract manufacturer in Singapore is seeking a Maintenance Engineer to manage preventive maintenance and enhance equipment reliability using advanced manufacturing techniques. The ideal candidate will have 3–5 years of maintenance experience, a degree in engineering, and knowledge of predictive maintenance strategies. This role offers an opportunity to work in a high-tech environment, contributing to smart factory solutions.

Benefits

Exposure to smart factory solutions

Cross-functional team environment

Experience with medical-grade manufacturing standards

Qualifications

• 3–5 years of experience in industrial equipment maintenance.
• Familiarity with predictive maintenance techniques.
• Basic understanding of machine learning concepts.

Responsibilities

• Perform preventive and corrective maintenance on key production equipment.
• Troubleshoot electrical and mechanical issues to minimize unplanned downtime.
• Implement sensor-based condition monitoring.

Skills

Troubleshooting skills

P&ID reading

Electrical schematics

Control logic diagrams

Education

Degree or Diploma in Mechanical, Electrical, or Mechatronics Engineering

Tools

CMMS

Basic Python scripting

IIoT system integration

Job description

Maintenance Engineer, Singapore Singapore | Smart Maintenance, Industrial IoT, Advanced Manufacturing Salary up SGD 4,000/month

Support next-generation manufacturing by leading predictive maintenance initiatives powered by sensor technology and machine learning—while ensuring high equipment uptime and reliability in a fast-paced production environment.

About the Company

The company is a leading contract manufacturer specializing in high-precision components for the medical device industry. With proven expertise in advanced manufacturing technologies and adherence to global quality and regulatory standards, they turn innovative concepts into high-performance, market-ready products. From design to delivery, they help international clients bring life-changing healthcare solutions to the world.

About the Role

An advanced manufacturing team in Singapore is looking for a Maintenance Engineer to take ownership of equipment performance and reliability across their Metal Injection Molding (MIM) production line. This role will oversee preventive and corrective maintenance, while also playing a key role in developing predictive maintenance strategies using sensor data, Industrial IoT, and machine learning.

What’s in it for you

• Take ownership of mechanical and electrical maintenance in a high-tech manufacturing setup
• Contribute to predictive maintenance development using real-time sensor data and analytics
• Work in cross-functional teams alongside automation, digital, and analytics experts
• Drive continuous improvement while ensuring regulatory and safety compliance
• Be part of a forward-looking team adopting smart factory solutions and Industry 4.0 practices
• Gain exposure to medical-grade manufacturing technologies and standards

What you’ll be doing

• Perform preventive and corrective maintenance on key production equipment
• Troubleshoot electrical and mechanical issues to minimize unplanned downtime
• Implement sensor-based condition monitoring (e.g., vibration, temperature, pressure)
• Support data collection and feature extraction for predictive maintenance modeling
• Assist in deploying machine learning algorithms in collaboration with the analytics team
• Work closely with IT, Digital, and Automation teams to integrate data into the MES and real-time dashboards
• Maintain accurate logs and prepare for CMMS implementation
• Ensure all activities adhere to workplace safety and regulatory compliance standards

What we’re looking for

• Degree or Diploma in Mechanical, Electrical, or Mechatronics Engineering
• 3–5 years of experience in industrial equipment maintenance
• Strong troubleshooting skills and ability to read P&IDs, electrical schematics, and control logic diagrams
• Familiarity with predictive maintenance techniques and a basic understanding of machine learning concepts
• Preferred but not required:
• Experience using a CMMS
• Basic Python scripting
• Exposure to IIoT system integration