Future Talent - Quality Engineer

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Date: 1 Sept 2025

Location: Kunshan, CN

Company: Tetra Pak

Job Summary

Focuses on specifying, designing, procuring, maintaining and troubleshooting the manufacturing processes/equipments used to support the plant operations.

What you will do

  • Learn and establish a solid foundation in quality systems, and participate in the establishment and maintenance of the ISO quality certification system
  • Understand all inspection methods for parts & machines, and be able to perform all quality inspections
  • Responsible product quality within Production Center, improve product quality using NCR system & WCM losses bank.
  • Issue claims note for supplier quality failure, cooperate with SQE for supplier quality improvement.
  • Perform process inspection on the machine, control the manufacturing process, including welding, assembly, wiring, testing and packing and make sure self-inspection results to meet TP standard requirements.
  • Optimize the equipment manufacture process by using Q matrix, FMEA tools, setting control points and collecting the quality data and analysis for improvement.
  • Lead or participate in the resolution and implementation of Technical Issue which comes from customer site in promoting quality-related continuous improvement.
  • Participate in personnel management or project management work

We believe you have

 

  • Master’s degree in engineering-related majors such as Quality, Materials, Welding, Food Machinery, Industrial Engineering, etc.
  • CET-6 or above, with good English/Mandarin proficiency and proficient in computer office skills.
  • Enjoy problem-solving, have internal motivation for self-improvement, and possess quick learning ability.
  • Result-oriented, with the ability to analyze problems and a willingness to delve into technical issues.
  • Motivated & passionate about applying theories to practice and willing to try.
  • Good communication skills and a willingness to work in a team.
  • Proactive and strong logical thinking ability.
  • Good data sensitivity and strong data analysis skills.

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