Optimization-Focused Chemical Process Engineer (Hybrid)

Placements24

Rustenburg

Hybrid

ZAR 600,000 - 900,000

Full time

40 hours ago
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Benefits offered by this job

Competitive salary with performance‑in
Health, retirement and other benefits
Hybrid work model
Professional growth and training

Job summary

Placements24 is seeking a diligent and analytical Chemical Process Engineer in Rustenburg to optimize chemical manufacturing processes. The role combines on-site analysis with remote collaboration to boost efficiency, yield, and cost-effectiveness while maintaining safety and quality.

The ideal candidate holds a Bachelor’s degree in Chemical Engineering with 3–5 years in process engineering, strong data analytics skills, and familiarity with SPC and Six Sigma as a plus. Hybrid work model offered.

Qualifications

  • Bachelor’s degree in Chemical Engineering.
  • 3–5 years in chemical manufacturing or process engineering.
  • Proficiency in data analysis techniques and process simulation tools.
  • Knowledge of SPC and Six Sigma is a plus.

Responsibilities

  • Analyze process data to improve efficiency, yield, and energy use.
  • Develop and implement process modifications and control tuning.
  • Perform root-cause analysis for deviations and corrective actions.
  • Collaborate with production and maintenance to solve issues.
  • Support scale-up of new products from pilot to production.
  • Prepare reports and present findings to management.

Skills

Data analysis
Process optimization
Six Sigma

Education

Bachelor's degree in Chemical Engineering

Tools

Process simulation tools
Statistical software

Job description

Placements24 is seeking a diligent and analytical Chemical Process Engineer in Rustenburg to optimize chemical manufacturing processes. The role combines on-site analysis with remote collaboration to boost efficiency, yield, and cost-effectiveness while maintaining safety and quality.

The ideal candidate holds a Bachelor’s degree in Chemical Engineering with 3–5 years in process engineering, strong data analytics skills, and familiarity with SPC and Six Sigma as a plus. Hybrid work model offered.

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