Manufacturing Optimization Engineer (System Integration)

VDL ETG Singapore; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

VDL ETG Singapore is seeking a manufacturing engineering professional to drive end-to-end digital/programmable automation and process optimization within the SID. The role emphasizes turning manual processes into intelligent digital solutions, building real-time visibility platforms, and standardizing workflows across operations.

You will lead Lean/Six Sigma initiatives, develop internal apps and data dashboards, and collaborate with ME, PE, IT, and Quality teams to deliver cross-functional

Qualifications

• Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Automation, Computer Science or related discipline.
• Minimum 3-5 years of experience in manufacturing engineering, process optimization, or digital manufacturing.
• Strong knowledge of manufacturing processes, testing operations, and system integration environments.
• Hands-on experience with Lean Manufacturing, Six Sigma, or continuous improvement methodologies.
• Proficiency in digital tools such as Microsoft Power Apps, Power Automate, SharePoint, Excel, Power BI, and MES systems.
• Experience in data analysis, SPC, KPI tracking, and performance monitoring.
• Ability to design and maintain internal applications or low-code solutions for manufacturing operations.
• Strong problem-solving, analytical, and root cause analysis skills.
• Excellent communication and stakeholder management skills.
• Experience in semiconductor equipment or high-precision manufacturing is an advantage.

Responsibilities

• Analyze end-to-end manufacturing and testing processes to identify optimization opportunities in efficiency, quality, cost, and cycle time.
• Design, develop, and deploy digital manufacturing solutions, including workflow automation, data collection platforms, and KPI dashboards.
• Lead process optimization initiatives such as Lean, Six Sigma, FPY improvement, bottleneck reduction, and capacity optimization.
• Develop and maintain internal manufacturing systems and applications (e.g., support request platforms, tooling management, certification systems).
• Integrate manufacturing data with MES, SharePoint, Power Apps, Power Automate, and other enterprise systems.
• Standardize manufacturing and testing processes through SOPs, WI, templates, and digital forms.
• Monitor production performance and quality trends using SPC, dashboards, and analytics tools.
• Support NPI and engineering change implementation by optimizing workflows and readiness.
• Collaborate with ME, PE, Test, Automation, IT, and Quality teams to implement cross-functional improvements.
• Provide technical support and root cause analysis for recurring production and test issues.
• Train engineers, technicians, and operators on new systems, tools, and optimized processes.
• Ensure digital and process solutions comply with safety, quality, and internal governance requirements.

Skills

Lean Manufacturing

Six Sigma

Continuous improvement

Data analysis

KPI tracking

Root cause analysis

Problem-solving

Communication

Stakeholder management

Analytical skills

Education

Bachelor's degree in Manufacturing Engineering

Bachelor's degree in Industrial Engineering

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Automation

Bachelor's degree in Computer Science

Tools

Power Apps

Power Automate

SharePoint

Excel

Power BI

MES systems

Job description

Purpose: Responsible for driving end-to-end digital / programmable, automation (logic & coding driven), and process optimization initiatives within the System Integration Department to enhance operational efficiency, accuracy, and workflow performance. The role focuses on transforming manual processes into intelligent digital / programmable system (software & logic based), building real-time visibility platforms, and standardizing processes to support productivity, quality, and equipment/tooling management across SID operations

Key Area of Responsibilities:

• Analyze end-to-end manufacturing and testing processes to identify optimization opportunities in efficiency, quality, cost, and cycle time
• Design, develop, and deploy digital manufacturing solutions, including workflow automation, data collection platforms, and KPI dashboards. with strong emphasis on programming, coding, and system logic
• Lead process optimization initiatives such as Lean, Six Sigma, FPY improvement, bottleneck reduction, and capacity optimization
• Develop and maintain internal manufacturing systems and applications (e.g., support request platforms, tooling management, certification systems)
• Integrate manufacturing data with MES, SharePoint, Power Apps, Power Automate, and other enterprise systems
• Standardize manufacturing and testing processes through SOPs, WI, templates, and digital forms. with strong emphasis on programming, coding, and system logic
• Monitor production performance and quality trends using SPC, dashboards, and analytics tools
• Support NPI and engineering change implementation by optimizing workflows and readiness
• Collaborate with ME, PE, Test, Automation, IT, and Quality teams to implement cross-functional improvements
• Provide technical support and root cause analysis for recurring production and test issues
• Train engineers, technicians, and operators on new systems, tools, and optimized processes
• Ensure digital and process solutions comply with safety, quality, and internal governance requirements. with strong emphasis on programming, coding, and system logic

Requirements

• Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Automation, Computer Science or related discipline
• Minimum 3-5 years of experience in manufacturing engineering, process optimization, or digital manufacturing with strong emphasis on programming, coding, and system logic
• Strong knowledge of manufacturing processes, testing operations, and system integration environments
• Hands-on experience with Lean Manufacturing, Six Sigma, or continuous improvement methodologies
• Proficiency in digital tools such as Microsoft Power Apps, Power Automate, SharePoint, Excel, Power BI, and MES systems. with strong emphasis on programming, coding, and system logic
• Experience in data analysis, SPC, KPI tracking, and performance monitoring
• Ability to design and maintain internal applications or low-code solutions for manufacturing operations
• Strong problem-solving, analytical, and root cause analysis skills
• Excellent communication and stakeholder management skills
• Experience in semiconductor equipment or high-precision manufacturing is an advantage