Remote Process Optimization Engineer

Placements24; George; Ibrido; ZAR 1.976.000 - 2.964.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Fully remote work arrangement

Professional development opportunities

Descrizione del lavoro

Placements24 is seeking a Process Optimization Engineer to drive efficiency, yield, and sustainability across global operations in a fully remote role. You will analyze datasets, build process models, and implement improvements in close collaboration with site engineers and operations teams.

The role requires a master’s degree in chemical engineering or related field, 6+ years of experience, and strong expertise in Aspen Plus/HYSYS, Python, R, and MATLAB.

Competenze

• Master’s degree in Chemical Engineering or a related quantitative field.
• Minimum of 6 years of experience in process engineering with a strong focus on optimization and data analysis.
• Proficiency in process simulation software (e.g., Aspen Plus, HYSYS) and data analysis tools (e.g., Python, R, MATLAB).
• Expertise in statistical analysis, DOE, and data visualization techniques.
• Proven track record of successfully implementing process improvements in industrial settings.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent remote communication, collaboration, and presentation skills.
• Self-disciplined, highly organized, and capable of managing workload independently.
• Experience with Lean Manufacturing or Six Sigma methodologies is highly desirable.

Mansioni

• Analyze large datasets from plant operations to identify trends, inefficiencies, and areas for optimization.
• Develop and utilize process simulation models to test optimization strategies and predict outcomes.
• Recommend and assist in the implementation of process modifications to improve yield, reduce waste, and lower energy consumption.
• Collaborate with site-based engineering and operations teams through virtual communication channels.
• Develop and implement KPIs and performance monitoring systems for key processes.
• Conduct root cause analysis for process deviations and operational issues.
• Stay abreast of new technologies and methodologies in process optimization and data analytics.
• Prepare detailed reports and presentations on findings and recommendations.
• Support process safety initiatives by identifying and mitigating risks through optimization strategies.
• Mentor and guide site engineers on best practices for process monitoring and optimization.

Conoscenze

Process optimization

Data analysis

Statistical analysis

DOE

Python

R

MATLAB

Lean Manufacturing

Six Sigma

Formazione

Master’s degree in Chemical Engineering or related field

Strumenti

Aspen Plus

HYSYS

Python

R

MATLAB

Descrizione del lavoro

About the Role

Our client, a global leader in sustainable chemical solutions, is seeking a highly analytical and results-oriented Process Optimization Engineer to join their team on a fully remote basis. This role is focused on leveraging data analytics, simulation tools, and process knowledge to identify and implement significant improvements in efficiency, yield, and sustainability across our diverse manufacturing operations worldwide. You will work autonomously, collaborating virtually with site engineers and operational teams to diagnose issues, develop solutions, and drive continuous improvement initiatives. This is an exceptional opportunity for a seasoned engineer who excels in a remote setting and is passionate about maximizing operational performance.

Key Responsibilities

• Analyze large datasets from plant operations to identify trends, inefficiencies, and areas for optimization.


• Develop and utilize process simulation models to test optimization strategies and predict outcomes.


• Recommend and assist in the implementation of process modifications to improve yield, reduce waste, and lower energy consumption.


• Collaborate with site-based engineering and operations teams through virtual communication channels.


• Develop and implement KPIs and performance monitoring systems for key processes.


• Conduct root cause analysis for process deviations and operational issues.


• Stay abreast of new technologies and methodologies in process optimization and data analytics.


• Prepare detailed reports and presentations on findings and recommendations.


• Support process safety initiatives by identifying and mitigating risks through optimization strategies.


• Mentor and guide site engineers on best practices for process monitoring and optimization.

Requirements

• Master's degree in Chemical Engineering or a related quantitative field.


• Minimum of 6 years of experience in process engineering with a strong focus on optimization and data analysis.


• Proficiency in process simulation software (e.g., Aspen Plus, HYSYS) and data analysis tools (e.g., Python, R, MATLAB).


• Expertise in statistical analysis, DOE, and data visualization techniques.


• Proven track record of successfully implementing process improvements in industrial settings.


• Exceptional analytical, problem-solving, and critical thinking skills.


• Excellent remote communication, collaboration, and presentation skills.


• Self-disciplined, highly organized, and capable of managing workload independently.


• Experience with Lean Manufacturing or Six Sigma methodologies is highly desirable.

Benefits

• Our client offers a competitive salary, comprehensive benefits package, a fully remote work arrangement with supporting resources, and excellent opportunities for professional development. This role provides the flexibility to work from anywhere while contributing significantly to global operational excellence.