Remote Senior Manufacturing Process Engineer — Lean/Digital

Placements24

Pietermaritzburg

Hybrid

ZAR 900,000 - 1,500,000

Full time

8 days ago
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Benefits offered by this job

Competitive salary
Remote-first environment
Professional development budget
Health insurance

Job summary

Placements24 is seeking a Senior Manufacturing Process Engineer for a remote-first role. You will optimize production processes across global facilities, leveraging CAD and simulation tools to boost efficiency and quality. The role requires strong data analytics, SPC, and cross-functional teamwork in a remote setting.

We value continuous learning and provide opportunities for professional development, with a focus on innovation and operational excellence in manufacturing.

Qualifications

  • Bachelor’s degree in Mechanical or Industrial Engineering or related field.
  • Minimum 7 years of experience in manufacturing process engineering.
  • Strong lean manufacturing knowledge and data-driven mindset.
  • Experience with CAD and process simulation tools (Arena/AnyLogic).
  • Proficient in SPC, data analysis, and project management.

Responsibilities

  • Design, develop, and implement new manufacturing processes to improve efficiency.
  • Analyze production lines, identify bottlenecks, and propose optimization ideas.
  • Create and maintain SOPs and training materials.
  • Collaborate with R&D, QA, and production teams for seamless integration.
  • Use simulation and statistics to validate improvements before implementation.
  • Perform remote root cause analysis and implement corrective actions.

Skills

Lean manufacturing
Data analysis
Statistical process control
Process optimization

Education

Bachelor's degree in Mechanical or Industrial Engineering

Tools

Arena
AnyLogic
CAD software

Job description

Placements24 is seeking a Senior Manufacturing Process Engineer for a remote-first role. You will optimize production processes across global facilities, leveraging CAD and simulation tools to boost efficiency and quality. The role requires strong data analytics, SPC, and cross-functional teamwork in a remote setting.

We value continuous learning and provide opportunities for professional development, with a focus on innovation and operational excellence in manufacturing.

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