Industrial Engineer | Hybrid, Optimize Ops & Growth

Placements24; Paarl; Hybrid; ZAR 420,000 - 620,000; Full time

Benefits offered by this job

Hybrid work model

Medical benefits

Retirement benefits

Continuous learning

Collaborative team environment

Job summary

Placements24 is seeking an Industrial Engineer for our Paarl operation to optimize manufacturing workflows and reduce costs. You will analyze data, design efficient layouts, and implement improvements across production lines.

The role requires a degree in Industrial Engineering, Lean/Six Sigma experience, and CAD/data analysis proficiency. A hybrid work model is offered, with opportunities for professional development and impact on the operational performance.

Qualifications

• Bachelor's degree in Industrial Engineering or a related technical field.
• Proven experience with Lean or Six Sigma process improvement methodologies.
• Proficiency in CAD and data analysis software.
• Strong understanding of manufacturing operations and supply chain principles.
• Excellent analytical and problem-solving skills.

Responsibilities

• Analyze current production processes and identify bottlenecks or areas of inefficiency.
• Design and implement optimized factory layouts and material flow strategies.
• Develop and update standard operating procedures (SOPs) and work instructions.
• Conduct time studies and capacity planning to ensure efficient resource allocation.
• Collaborate with production staff and management to implement process improvements and ensure seamless integration.

Skills

Lean Six Sigma

Data analysis

Process optimization

SOP development

Time studies

Education

Bachelor's degree in Industrial Engineering

Tools

CAD

Statistical software

Job description

Placements24 is seeking an Industrial Engineer for our Paarl operation to optimize manufacturing workflows and reduce costs. You will analyze data, design efficient layouts, and implement improvements across production lines.

The role requires a degree in Industrial Engineering, Lean/Six Sigma experience, and CAD/data analysis proficiency. A hybrid work model is offered, with opportunities for professional development and impact on the operational performance.