QA Engineer: Manufacturing Quality & Process Improvement

Pan-International Wire & Cable (M) Sdn. Bhd.; Seberang Perai; On-site; MYR 72,000 - 110,000; Full time

Job summary

Pan-International Wire & Cable (M) Sdn. Bhd. in Perai, Penang, is seeking a QA Engineer to safeguard product quality across manufacturing processes.

You will lead quality initiatives, implement control plans, and collaborate with production and engineering teams to resolve issues. The ideal candidate holds a Bachelor's in Engineering or QA, with at least 3 years in manufacturing QA, strong SPC knowledge, and proficiency in QC tools and data analysis software.

Qualifications

• Bachelor's degree required in Engineering, QA or related field.
• Minimum 3 years of QA engineering experience in manufacturing.
• Strong knowledge of quality control principles, SPC and root-cause analysis.
• Proficient with QC tools and data analysis software.

Responsibilities

• Develop and implement quality control processes to meet industry standards.
• Inspect raw materials, in-process products and finished goods to identify issues.
• Analyse data and generate reports to track quality metrics.
• Collaborate with production and engineering teams to optimise quality processes.
• Provide technical guidance and training on QC best practices.
• Stay up-to-date with industry regulations and drive continuous improvement.

Skills

Quality Assurance

Statistical Process Control

Root Cause Analysis

Data Analysis

Cross-functional Collaboration

Problem Solving

Education

Bachelor's degree in Engineering or related field

Tools

Measurement devices

Testing equipment

Data analysis software

Job description

Pan-International Wire & Cable (M) Sdn. Bhd. in Perai, Penang, is seeking a QA Engineer to safeguard product quality across manufacturing processes.

You will lead quality initiatives, implement control plans, and collaborate with production and engineering teams to resolve issues. The ideal candidate holds a Bachelor's in Engineering or QA, with at least 3 years in manufacturing QA, strong SPC knowledge, and proficiency in QC tools and data analysis software.