Optimization Chemical Process Engineer — Hybrid (Paarl)

Placements24; Paarl; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Challenging projects

Job summary

Placements24 is seeking a highly analytical Chemical Process Engineer focused on optimization for a chemical manufacturing operation in Paarl, Western Cape. The role emphasizes data-driven improvements to yield, energy use, and sustainability, with a hybrid work arrangement allowing remote work for a significant portion of duties.

The candidate will leverage process simulation, statistical process control, and collaboration with operations, maintenance, and R&D teams to drive continuous

Qualifications

• Bachelor's degree in Chemical Engineering.
• 4+ years of process engineering with a focus on optimization and continuous improvement.
• Proficiency in process simulation software (Aspen Plus, HYSYS) and data analysis tools.
• Experience with SPC and quality management tools.

Responsibilities

• Analyze process performance data to identify trends and optimization opportunities.
• Develop and implement strategies to improve yield, reduce energy use, and minimize waste.
• Use process simulation to model and test improvements before implementation.
• Apply SPC techniques to monitor process stability and performance.
• Collaborate with operations and maintenance to safely implement changes and report findings.

Skills

Data analysis

Analytical thinking

Problem solving

Communication

Adaptability

Education

Bachelor's degree in Chemical Engineering

Tools

Aspen Plus

HYSYS

Statistical analysis tools

Job description

Placements24 is seeking a highly analytical Chemical Process Engineer focused on optimization for a chemical manufacturing operation in Paarl, Western Cape. The role emphasizes data-driven improvements to yield, energy use, and sustainability, with a hybrid work arrangement allowing remote work for a significant portion of duties.

The candidate will leverage process simulation, statistical process control, and collaboration with operations, maintenance, and R&D teams to drive continuous