Senior Process Optimization Engineer (Remote)

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

Benefits offered by this job

Remote work

Health insurance

Dental insurance

Vision insurance

Home office stipend

Online courses

Flexible schedule

Job summary

Placements24 seeks a Senior Process Optimization Engineer to join a globally distributed, remote team focused on data analytics, modeling, and optimization of chemical manufacturing processes. You will work autonomously and with cross-functional groups to drive efficiency, yield, and sustainability improvements from a remote setting.

The role requires a Master’s in Chemical Engineering and 6+ years of process engineering experience with strong data analysis, SPC/DOE, and programming in Python or

Qualifications

• Master's degree in Chemical Engineering or a related quantitative field.
• 6+ years of experience in process engineering, with a strong focus on process optimization and data analysis.
• Proficiency in programming languages like Python or R for data analysis and modeling; experience with SPC/DOE and data mining.

Responsibilities

• Analyze complex process data to identify trends, bottlenecks, and opportunities for improvement in chemical operations.
• Develop and implement advanced process control strategies and optimization models.
• Conduct root cause analysis for process deviations and implement corrective actions.
• Collaborate with site engineers and operations personnel to deploy and monitor optimization initiatives.
• Stay abreast of the latest advancements in process optimization technologies and methodologies.
• Prepare and present detailed reports on process performance and optimization project outcomes to management.

Skills

Data analysis

Statistical methods

Problem solving

Communication

Python

R

Education

Master's degree in Chemical Engineering

Tools

DOE

SPC

Process simulation software

APC systems

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Process Optimization Engineer to join their globally distributed, remote team. This role is focused on leveraging data analytics and advanced modeling techniques to continuously improve the efficiency, yield, and sustainability of chemical manufacturing processes. You will work independently and collaboratively with cross-functional teams to identify opportunities for optimization, implement data-driven solutions, and track performance improvements. This is an exceptional opportunity for a proactive engineer to drive significant operational enhancements from a remote setting.

Key Responsibilities

• Analyze complex process data to identify trends, bottlenecks, and opportunities for improvement in chemical operations.
• Develop and implement advanced process control strategies and optimization models.
• Conduct root cause analysis for process deviations and implement corrective actions.
• Collaborate with site engineers and operations personnel to deploy and monitor optimization initiatives.
• Stay abreast of the latest advancements in process optimization technologies and methodologies.
• Prepare and present detailed reports on process performance and optimization project outcomes to management.

Requirements

• Master's degree in Chemical Engineering or a related quantitative field.
• 6+ years of experience in process engineering, with a strong focus on process optimization and data analysis.
• Expertise in statistical process control (SPC), design of experiments (DOE), and data mining techniques.
• Proficiency in programming languages like Python or R for data analysis and modeling.
• Experience with process simulation software and advanced process control (APC) systems.
• Proven ability to work effectively in a remote environment with minimal supervision.

Benefits

• A competitive salary commensurate with experience and remote work.
• Comprehensive health, dental, and vision insurance.
• Stipend for home office setup and ongoing technology support.
• Access to online courses and professional development resources.
• A flexible work schedule and a supportive, results-oriented remote culture.