Process Engineer

Mattel Asia Pacific; Bekasi; On-site; IDR 120,000,000 - 180,000,000; Full time

Job summary

Mattel Asia Pacific seeks a Process Engineer to develop, evaluate, and optimize manufacturing processes in Bekasi. You will analyze production performance, lead continuous improvement initiatives, and collaborate with cross-functional teams to ensure stable, efficient operations.

The role requires a technical degree and 2–3 years in process/manufacturing engineering; familiarity with Lean, Kaizen, and data-driven problem solving is preferred.

Qualifications

• Degree in engineering with strong analytical and problem-solving skills.
• Experience in process/manufacturing engineering preferred.
• Knowledge of Lean, Kaizen and data-driven improvement methodologies.

Responsibilities

• Develop, evaluate, and optimize manufacturing processes to improve productivity, quality, and cost efficiency.
• Analyze production performance and identify opportunities for process improvement using engineering methodologies.
• Lead continuous improvement initiatives through Lean Manufacturing, Kaizen, and waste elimination.

Skills

Lean Manufacturing

Root Cause Analysis

Continuous Improvement

Process Optimization

Education

Bachelor's Degree in Mechanical/Industrial/Mechatronics

Tools

Excel

Python

SQL

Power BI

Tableau

Job description

Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends to all our brands, partners, and suppliers. We are a purpose-driven company aiming to empower the next generation to explore the wonder of childhood and reach their full potential.

• Develop, evaluate, and optimize manufacturing processes to improve productivity, quality, and cost efficiency.
• Analyze production performance and identify opportunities for process improvement using engineering methodologies.
• Lead and support continuous improvement initiatives through Lean Manufacturing, Kaizen, and waste elimination programs.
• Conduct root cause analysis and implement corrective and preventive actions for process-related issues.
• Collaborate with Production, Quality, Maintenance, and Engineering teams to ensure stable and efficient manufacturing operations.
• Develop process documentation, work instructions, and engineering reports.
• Support new product introduction (NPI), process validation, tooling improvement, and manufacturing capability enhancement.
• Monitor key manufacturing metrics such as OEE, cycle time, yield, and process capability to drive operational excellence.

Education

• Bachelor's Degree in Mechanical Engineering, Industrial Engineering, Mechatronics Engineering, Chemical Engineering, or other related Engineering disciplines.

Experience

• Minimum 2–3 years of experience in Process Engineering, Manufacturing Engineering, Production Engineering, Tooling Engineering, or related manufacturing functions.
• Experience in high-volume discrete manufacturing is preferred.
• Experience in printing, inkjet technology, automation, or precision manufacturing will be an advantage.

Technical Competencies

• Strong understanding of manufacturing processes, process development, and process optimization.
• Experience with Lean Manufacturing, Kaizen, Continuous Improvement, and Waste Elimination.
• Good knowledge of OEE, Cycle Time, Yield Improvement, Capacity Planning, Line Balancing, and Process Capability.
• Familiar with Root Cause Analysis, DOE, 8D, FMEA, PDCA, SPC, and other structured problem-solving methodologies.
• Able to read and interpret technical drawings and 2D/3D CAD models.
• Good understanding of mechanical systems, pneumatics, tooling, jigs & fixtures, and basic industrial automation.
• Proficient in Microsoft Office, especially Microsoft Excel, for engineering analysis and reporting.

Preferred Qualifications

• Exposure to Direct Inkjet Printing (DIJ), Pad Printing, surface finishing, or other precision printing technologies is an advantage.
• Experience with Python, SQL, Power BI, Tableau, or other engineering data analysis and visualization tools.
• Familiarity with manufacturing dashboards, automated reporting, or engineering digitalization projects.
• Knowledge of PLC systems, industrial sensors, robotics, machine connectivity, or Industry 4.0 technologies.
• Experience using manufacturing data for process