Remote Process Optimization Engineer — Lean & Data-Driven

Placements24

Soweto

Hybrid

ZAR 450,000 - 750,000

Full time

7 days ago
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Benefits offered by this job

Remote work flexibility
Health and retirement benefits
Home office stipend

Job summary

Placements24 is seeking a Remote Industrial Process Optimization Engineer to enhance manufacturing efficiency for Soweto-area operations. The role works remotely with on-site teams via virtual channels to identify and implement data-driven improvements.

You will utilize data analysis, simulation tools, and lean Six Sigma methods to drive productivity gains, cost reductions, and quality improvements across production lines.

Qualifications

  • Bachelor's degree in Industrial Engineering or related field.
  • 3–5 years of experience in industrial engineering with process optimization.
  • Proficient in data analysis, process mapping, and simulation software.
  • Strong knowledge of lean manufacturing and continuous improvement.
  • Excellent remote communication and self-management.

Responsibilities

  • Analyze data to identify inefficiencies and improvement opportunities.
  • Design and implement optimized workflows using simulation tools.
  • Apply lean and Six Sigma practices to reduce costs and improve quality.
  • Create process documentation including flowcharts, SOPs and metrics.
  • Collaborate virtually with plant managers and engineers to sustain changes.
  • Monitor effects of changes and propose further optimization.

Skills

Data analysis
Process mapping
Simulation tools

Education

Bachelor's degree in Industrial Engineering

Tools

Simulation software

Job description

Placements24 is seeking a Remote Industrial Process Optimization Engineer to enhance manufacturing efficiency for Soweto-area operations. The role works remotely with on-site teams via virtual channels to identify and implement data-driven improvements.

You will utilize data analysis, simulation tools, and lean Six Sigma methods to drive productivity gains, cost reductions, and quality improvements across production lines.

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