Remote Process Optimization Engineer

Placements24; East London; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Fully remote work

Flexible schedule

Professional development

Competitive compensation

Job summary

Placements24 is seeking an expert Process Optimization Engineer for a fully remote position focused on enhancing efficiency, yield, and cost-effectiveness of chemical processes. You will analyze data, simulate scenarios, and implement transformative improvements across projects with global teams.

Ideal candidates bring a Master's in Chemical Engineering or related field, 6+ years of optimization experience, and strong remote collaboration and analytical skills to drive meaningful cost savings.

Qualifications

• Master's degree or higher in Chemical Engineering or related field.
• Minimum of 6 years of experience focused on process optimization in the chemical industry.
• Proven expertise in process simulation software and statistical analysis tools.
• Strong analytical skills and the ability to interpret complex datasets.
• Demonstrated success in implementing process improvements that yielded significant cost savings or efficiency increases.
• Excellent remote communication and collaboration skills.

Responsibilities

• Analyze process data to identify areas for improvement, bottleneck resolution, and efficiency gains.
• Develop and implement advanced control strategies and optimization techniques.
• Utilize process simulation and modeling tools to predict and test optimization scenarios.
• Collaborate remotely with operations, engineering, and R&D teams to implement recommended changes.
• Prepare detailed reports on optimization findings, potential benefits, and implementation plans.
• Stay updated on the latest advancements in process optimization and data analytics technologies.

Skills

Analytical thinking

Remote collaboration

Self-discipline

Data interpretation

Education

Master's degree or higher in Chemical Engineering or related field

Tools

Process simulation software

Statistical analysis tools

Job description

About the Role

Our client is seeking an expert Process Optimization Engineer for a fully remote position. This role is dedicated to enhancing the efficiency, yield, and cost-effectiveness of chemical processes across various projects by leveraging advanced data analysis and simulation techniques. You will work independently, collaborating virtually with global teams to implement transformative process improvements. This is an exceptional opportunity for a results-oriented engineer to drive significant operational gains from any location, contributing to our client's commitment to innovation and excellence in chemical manufacturing.

Key Responsibilities

• Analyze process data to identify areas for improvement, bottleneck resolution, and efficiency gains.
• Develop and implement advanced control strategies and optimization techniques.
• Utilize process simulation and modeling tools to predict and test optimization scenarios.
• Collaborate remotely with operations, engineering, and R&D teams to implement recommended changes.
• Prepare detailed reports on optimization findings, potential benefits, and implementation plans.
• Stay updated on the latest advancements in process optimization and data analytics technologies.

Requirements

• Master's degree or higher in Chemical Engineering or a related field.
• Minimum of 6 years of experience focused on process optimization in the chemical industry.
• Proven expertise in process simulation software and statistical analysis tools.
• Strong analytical skills and the ability to interpret complex datasets.
• Demonstrated success in implementing process improvements that yielded significant cost savings or efficiency increases.
• Excellent remote communication and collaboration skills, with a high degree of self-discipline.

Benefits

• Highly competitive salary and performance incentives.
• Fully remote work arrangement, offering work-life balance and flexibility.
• Opportunity to work on diverse and impactful optimization projects.
• Access to sophisticated analytical and simulation software.
• Support for continuous learning and professional development.