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Manufacturing Engineer - Process Optimization
Job in
Klerksdorp, 2571, South Africa
Listed on 2026-09-28
Listing for:
Placements24
Full Time
position Listed on 2026-09-28
Job specializations:
-
Manufacturing / Production
Lean Manufacturing / Six Sigma, Manufacturing Engineer, Quality Engineering -
Engineering
Lean Manufacturing / Six Sigma, Manufacturing Engineer, Process Engineer, Quality Engineering
Job Description & How to Apply Below
About the Role
Our client is seeking an experienced Manufacturing Engineer specializing in Process Optimization to join their team in Klerksdorp . This hybrid role involves working on-site to collaborate with production teams and remotely for analysis and reporting. You will play a vital role in streamlining manufacturing operations, enhancing productivity, and ensuring the highest quality standards. Your expertise in analyzing complex systems and implementing effective engineering solutions will be key to driving efficiency and cost savings across the plant.
This is a great opportunity to make a significant impact on the company's operational success.
- Analyze manufacturing processes to identify inefficiencies, bottlenecks, and areas for improvement.
- Develop and implement solutions using Lean Manufacturing and Six Sigma principles to enhance productivity and reduce waste.
- Design and optimize production layouts and workflows for maximum efficiency and safety.
- Collaborate with production staff, quality control, and management to implement and sustain process improvements.
- Develop and maintain detailed process documentation, including SOPs and control plans.
- Monitor key performance indicators (KPIs) and generate reports on manufacturing performance and project outcomes.
- Bachelor's degree in Manufacturing Engineering , Industrial Engineering, or a related discipline.
- Minimum of 3-5 years of experience in a manufacturing engineering role with a focus on process optimization.
- Proven knowledge of Lean Manufacturing techniques and tools (e.g., VSM, Kaizen, 5S).
- Experience with statistical process control (SPC) and data analysis.
- Ability to work effectively in a hybrid model, with strong on-site and remote collaboration skills.
- Excellent problem-solving abilities and a commitment to continuous improvement.
- Competitive annual salary and performance-based bonuses.
- Hybrid work arrangement offering work-life balance.
- Comprehensive health and retirement benefits.
- Opportunities for professional development and career advancement.
- Exposure to innovative manufacturing technologies and practices.
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