Senior Industrial Process Optimization Engineer (Remote)

Placements24; Upington; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus

Health insurance

Retirement plans

Wellness programs

Job summary

Placements24 in Upington, South Africa, seeks a Senior Industrial Process Optimization Engineer for a remote role focused on analyzing, redesigning, and implementing advanced processes to maximize efficiency across global facilities.

You will lead cross-functional projects, applying Lean Six Sigma and statistical methods, with strong SQL/Python and simulation tool experience to drive tangible improvements.

Qualifications

• Master's degree in Industrial, Chemical or Mechanical Engineering.
• 7+ years in industrial process engineering focusing on optimization.
• Lean Manufacturing and Six Sigma expertise; Black Belt preferred.
• Arena, AnyLogic, ProcessModel for simulation and modeling.
• Strong analytical and statistical skills.
• Experience leading remote/global teams.
• SQL and Python proficiency.
• Ability to work independently in a remote role.

Responsibilities

• Lead the analysis and redesign of complex industrial processes to enhance efficiency, throughput, and quality.
• Apply advanced statistical methods, simulation, and modeling techniques to identify bottlenecks and inefficiencies.
• Develop and implement strategic process improvements using Lean and Six Sigma methodologies.
• Collaborate with cross-functional teams to ensure seamless integration of improvements.
• Manage full lifecycle of optimization projects from concept to validation.
• Provide technical leadership and mentorship to engineers and process specialists.
• Establish and monitor KPIs for process performance and continuous improvement.
• Ensure designs comply with industry standards, safety, and environmental requirements.
• Stay abreast of emerging technologies and best practices in process engineering and automation.
• Develop documentation including SOPs and best practice guidelines.

Skills

Process optimization

Lean Six Sigma

Statistical analysis

Project leadership

SQL

Python

Education

Master's degree in Industrial Engineering, Chemical Engineering, Mechanical Engineering

Tools

Arena

AnyLogic

ProcessModel

Job description

About the Role

Our client, a leader in the agricultural technology sector, is seeking a highly accomplished Senior Industrial Process Optimization Engineer for a fully remote role. This position is pivotal in analyzing, redesigning, and implementing advanced industrial processes to maximize efficiency, minimize waste, and improve overall operational performance across our global facilities. The ideal candidate will possess deep expertise in process engineering, statistical analysis, and lean manufacturing principles, combined with a strong ability to lead complex projects and collaborate virtually with diverse teams. This remote-first opportunity allows you to leverage your skills and experience to drive significant improvements without geographical limitations, contributing to our client's innovation and competitive edge from **Upington, Northern Cape**.

Key Responsibilities

• Lead the analysis and redesign of complex industrial processes to enhance efficiency, throughput, and quality.
• Apply advanced statistical methods, simulation, and modeling techniques to identify and address process bottlenecks and inefficiencies.
• Develop and implement strategic process improvement initiatives, utilizing Lean Manufacturing and Six Sigma methodologies.
• Collaborate closely with cross-functional teams, including operations, R&D, and quality assurance, to ensure seamless integration and adoption of process improvements.
• Manage the full lifecycle of process optimization projects, from concept and analysis through to implementation and validation.
• Provide technical leadership and mentorship to other engineers and process specialists.
• Establish and monitor key performance indicators (KPIs) for process performance, driving continuous improvement.
• Ensure all process designs and improvements comply with relevant industry standards, safety regulations, and environmental requirements.
• Stay abreast of emerging technologies and best practices in industrial process engineering and automation.
• Develop comprehensive documentation for optimized processes, including standard operating procedures (SOPs) and best practice guidelines.

Requirements

• Master's degree in Industrial Engineering, Chemical Engineering, Mechanical Engineering, or a related field.
• Minimum of 7 years of progressive experience in industrial process engineering, with a strong focus on optimization and continuous improvement.
• Proven expertise in applying Lean Manufacturing, Six Sigma (Black Belt certification preferred), and other optimization methodologies.
• Advanced proficiency in process simulation and modeling software (e.g., Arena, AnyLogic, ProcessModel).
• Strong analytical, statistical analysis, and problem-solving skills.
• Demonstrated experience in leading complex, cross-functional projects, ideally in a remote or globally distributed team environment.
• Exceptional leadership, communication, and stakeholder management skills, capable of influencing effectively in a virtual setting.
• Experience with data analysis tools and programming languages (e.g., SQL, Python).
• Ability to work independently, manage multiple priorities, and deliver results in a remote work setting.
• A results-oriented mindset with a passion for driving operational excellence.

Benefits

Our client offers a highly competitive salary, generous annual bonus, and a comprehensive benefits package, including premium health insurance, retirement plans, and wellness programs. We are committed to your professional growth, providing access to cutting-edge training, certifications, and opportunities to lead transformative projects. Embrace the flexibility of a fully remote role while making a significant impact on global operations from **Upington, Northern Cape**. Join our innovative team and help redefine industrial processes.