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PIE STAFF ENGINEER

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Onsite

PIE STAFF ENGINEER

BizLink Group

PIE STAFF ENGINEER

Skills

Data AnalysisProcess Improvement

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

2 September 2026

What they need


Overview Of The Position As a PIE Staff Engineer, you will lead the optimization of our manufacturing workflows, responsible for driving continuous improvement initiatives using Lean/Six Sigma, resolving critical production challenges, and establishing scalable processes for new product introductions.

Key Responsibilities

  • Lead process development, improvement, and standardization projects.
  • Design and optimize workflows to improve cycle time, yield, and efficiency.
  • Identify root causes of production issues and implement corrective actions.
  • Drive continuous improvement initiatives (Lean, Six Sigma, Kaizen, etc.).
  • Lead equipment selection, process validation, and production scaling activities.
  • Support new product introduction (NPI) with robust process setup and qualification.
  • Develop and maintain process documentation (work instructions, PFMEA, control plans).
  • Train and mentor junior engineers and production teams.
  • Collaborate with Quality, Molding, Maintenance, and Production for integrated process solutions.
  • Monitor and report KPIs such as OEE, downtime, scrap rate, and throughput.

Job Requirements

  • Degree/Master: Electronic & Electrical/RoboticEngineering Technology or Mechanical, Manufacturing, Industrial Engineering, a related discipline, or equivalent, and demonstrated 5 years of experience in a process engineering or manufacturing environment. Prior involvement in large-scale process improvement or automation projects is preferred.
  • Ability to interpret engineering design documents: ie., schematics, drawings.
  • Minimum of 5 years of experience in a process engineering or manufacturing environment.
  • Strong expertise in Lean Manufacturing and Six Sigma tools.
  • Skilled in process troubleshooting, DOE, SPC, and root cause analysis.
  • Familiarity with automation, robotics, or high-volume manufacturing systems.
  • Proficiency in PFMEA, control plans, work instructions, and quality systems.
  • Advanced skills in Excel, Minitab, and statistical/data analysis tools.
  • Strong communication, problem-solving, and technical leadership.

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