Remote Industrial Engineer: Lean & Data-Driven Optimization

Placements24; Paarl; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Performance incentives

Home office stipend

Flexible hours

Remote-first learning

Job summary

Placements24 is seeking a highly motivated Remote Industrial Engineer to join our distributed operations team. This role offers the flexibility to work from anywhere while optimizing manufacturing processes and operational efficiency across our global facilities.

You will leverage process analysis, system design, and continuous improvement methodologies to drive impactful changes remotely. The ideal candidate is a self-starter, excels in virtual collaboration, and is passionate about data-driven

Qualifications

• Bachelor's degree in Industrial Engineering or related field.
• Minimum of 4 years of experience in industrial engineering, with proven ability to work remotely.
• Strong understanding of lean manufacturing, Six Sigma, and process optimization techniques.

Responsibilities

• Conduct remote analysis of manufacturing processes and identify inefficiencies using data and virtual collaboration tools.
• Design and propose optimized workflow, layout, and system configurations with detailed documentation for virtual review.
• Develop and implement remote monitoring systems and data-driven KPIs across sites.

Skills

Lean manufacturing

Six Sigma

Data analysis

Simulation software

Remote collaboration tools

Virtual communication

Time management

Independent work

Education

Bachelor's degree in Industrial Engineering

Tools

Simulation software

Project management tools

Job description

Placements24 is seeking a highly motivated Remote Industrial Engineer to join our distributed operations team. This role offers the flexibility to work from anywhere while optimizing manufacturing processes and operational efficiency across our global facilities.

You will leverage process analysis, system design, and continuous improvement methodologies to drive impactful changes remotely. The ideal candidate is a self-starter, excels in virtual collaboration, and is passionate about data-driven