Remote Process Optimization Engineer - Data-Driven

Placements24; Polokwane; Hybrid; ZAR 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Remote salary package

Health benefits

Flexible hours

Cutting-edge tools for optimization

Global impact

Job summary

Placements24 seeks a seasoned Remote Process Optimization Engineer to drive data-based improvements across a global footprint. The role emphasizes autonomous work, advanced process analytics, and digital tooling to enhance efficiency and sustainability without site presence.

Ideal candidates hold a Master’s or PhD in Chemical Engineering with 8+ years in process optimization, and are proficient in Aspen Plus, HYSYS, and analytics.

Qualifications

• Master's or PhD in Chemical Engineering or related field.
• 8+ years in process engineering with focus on optimization and data analysis.
• Proficiency in process simulation software (Aspen Plus, HYSYS) and advanced analytics tools.
• Experience with digital transformation initiatives, AI/ML in process optimization, or digital twins.
• Ability to work independently and communicate effectively in a remote team.

Responsibilities

• Analyze production data from multiple facilities to identify optimization opportunities.
• Develop and implement advanced process control strategies and optimization algorithms.
• Use simulation software and digital twins to model and test improvements remotely.
• Collaborate virtually with on-site teams to implement optimization strategies.
• Prepare detailed technical reports and presentations outlining findings and benefits.
• Champion data-driven decision-making and digital transformation in engineering operations.

Skills

Data analytics

Process optimization

Remote collaboration

AI/ML in optimization

Digital transformation

Education

Master's or PhD in Chemical Engineering

Tools

Aspen Plus

HYSYS

Job description

Placements24 seeks a seasoned Remote Process Optimization Engineer to drive data-based improvements across a global footprint. The role emphasizes autonomous work, advanced process analytics, and digital tooling to enhance efficiency and sustainability without site presence.

Ideal candidates hold a Master’s or PhD in Chemical Engineering with 8+ years in process optimization, and are proficient in Aspen Plus, HYSYS, and analytics.