Manufacturing Optimization Engineer (System Integration) at Flatiron Construction Corp

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital Manufacturing Solutions, Workflow Automation, Data Collection Platforms, KPI Dashboards, Programming, Coding, System Logic, Lean Manufacturing, Six Sigma, FPY Improvement, Capacity Optimization, MES Integration, Power Apps, Power Automate, SharePoint, SPC

Industry

Industrial Machinery Manufacturing

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. 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.

Responsibilities

The role is responsible for driving end-to-end digital, automation, and process optimization initiatives within the System Integration Department to enhance operational efficiency and accuracy. Key duties include designing and deploying digital manufacturing solutions with a strong emphasis on programming and system logic, and leading continuous improvement projects.