Remote Industrial Process Optimization Engineer

Placements24

Vereeniging

Hybrid

ZAR 900,000 - 1,500,000

Full time

33 hours ago
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Benefits offered by this job

Remote work flexibility
Competitive compensation and benefits
Continuous learning opportunities

Job summary

Placements24 is seeking a Remote Industrial Process Optimization Engineer to analyze complex industrial processes, identify inefficiencies, and design data-driven solutions to enhance productivity and reduce waste. The role supports operations across multiple locations, including Vereeniging, Gauteng, in a remote-first environment.

The ideal candidate has 5+ years in industrial engineering, expertise in Lean/Six Sigma, and strong proficiency with Arena/AnyLogic and data analytics tools.

Qualifications

  • Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, or a related field.
  • Minimum of 5 years of progressive experience in industrial engineering, with a proven track record in process analysis and optimization.
  • Strong expertise in Lean Manufacturing, Six Sigma, and other continuous improvement methodologies.
  • Advanced proficiency in process simulation software (Arena, AnyLogic) and data analysis tools (Minitab, Python).
  • Excellent analytical, problem-solving, and remote communication skills.
  • Proven ability to manage projects and collaborate with geographically dispersed teams.

Responsibilities

  • Conduct in-depth analysis of industrial processes using data analytics and simulation tools to identify optimization opportunities.
  • Develop and propose strategic process improvement initiatives focused on efficiency, cost reduction, and waste minimization.
  • Design, implement, and monitor optimized workflows and procedures, often with on-site collaboration.
  • Create detailed process documentation, performance metrics, and best practice guidelines.
  • Utilize remote collaboration tools to engage with cross-functional teams, operations managers, and site personnel.
  • Lead virtual project teams from concept to sustainable implementation.

Skills

Industrial engineering
Lean Manufacturing
Six Sigma
Data analysis
Remote collaboration

Education

Bachelor's or Master's in Industrial/Mechanical Eng

Tools

Arena
AnyLogic
Minitab
Python

Job description

About the Role

Our client, a globally recognized leader in sustainable energy solutions, is seeking a highly skilled Remote Industrial Process Optimization Engineer to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical operational improvements across the company's various manufacturing and production facilities. You will be responsible for analyzing complex industrial processes, identifying inefficiencies, and designing data-driven solutions to enhance productivity, reduce waste, and improve overall performance. The ideal candidate will possess a strong foundation in industrial engineering principles, advanced analytical capabilities, and a proven ability to drive change through remote collaboration. This role is key to maintaining our client's competitive edge and commitment to operational excellence, supporting teams across multiple locations including operations near Vereeniging, Gauteng .

Key Responsibilities
  • Conduct in-depth analysis of industrial processes using advanced data analytics and simulation tools to identify areas for optimization.
  • Develop and propose strategic process improvement initiatives, focusing on efficiency, cost reduction, and waste minimization.
  • Design, implement, and monitor optimized workflows and operational procedures, often in collaboration with on-site teams.
  • Create detailed process documentation, performance metrics, and best practice guidelines.
  • Utilize remote collaboration tools effectively to engage with cross-functional teams, operations managers, and site personnel.
  • Lead virtual project teams in the execution of process improvement projects from concept to sustainable implementation.
  • Stay current with industry trends, new technologies, and methodologies in industrial engineering and process optimization.
  • Prepare comprehensive reports and present findings and recommendations to senior management and stakeholders.
  • Facilitate remote training sessions and knowledge transfer to support the adoption of new processes and tools.
  • Ensure all proposed and implemented solutions align with the company's strategic goals and sustainability objectives.
Requirements
  • Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, or a related field.
  • Minimum of 5 years of progressive experience in industrial engineering, with a proven track record in process analysis and optimization.
  • Strong expertise in Lean Manufacturing, Six Sigma, and other continuous improvement methodologies.
  • Advanced proficiency in process simulation software (e.g., Arena, AnyLogic) and data analysis tools (e.g., Minitab, Python).
  • Exceptional analytical, problem-solving, and critical thinking skills.
  • Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly in a remote setting.
  • Proven ability to manage projects and collaborate effectively with geographically dispersed teams.
  • Demonstrated experience working in a remote-first or hybrid work environment.
  • Self-motivated and able to work independently with minimal supervision.
  • Familiarity with the energy sector is a plus.
Benefits

This fully remote position offers a highly competitive salary, comprehensive health benefits, and a flexible work schedule. Our client is committed to fostering a culture of innovation and professional growth, providing opportunities for continuous learning and development. Employees benefit from working with a leading company in the renewable energy sector and contributing to a more sustainable future. Join a dynamic, forward-thinking organization that values talent and supports employee well-being, irrespective of location, while maintaining strong connections to operations supporting areas like Vereeniging .

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