Process Optimization Engineer

Placements24; Sandton; Híbrido; ZAR 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Competitive salary

Professional growth

Descripción de la vacante

Placements24 client seeks a highly analytical Process Optimization Engineer to join a fully remote team. You will enhance efficiency, sustainability, and profitability of chemical processes using data analysis, simulation, and statistical methods.

You will identify bottlenecks, reduce waste, and improve overall performance, collaborating with engineers and operations teams while working independently in a remote culture.

Formación

• Bachelor's degree in Chemical Engineering or related quantitative field
• 5+ years experience in process engineering with a focus on optimization
• Proficiency in data analysis and statistics (Python, R, JMP)
• Experience with process simulation and modeling tools
• Strong analytical and problem-solving skills
• Ability to work independently and communicate in a remote team

Responsabilidades

• Analyze complex chemical process data to identify KPIs and areas for improvement
• Develop and implement strategies for process optimization focusing on yield, energy, and waste
• Utilize process simulation and modeling tools to test optimization scenarios
• Collaborate with plant engineers and operations teams to implement and monitor optimization initiatives
• Develop and maintain documentation related to optimized processes and best practices
• Stay current with emerging technologies and methodologies in process optimization and data analytics

Conocimientos

Data analysis

Statistical software

Python

R

JMP

Analytical thinking

Remote communication

Educación

Bachelor's degree in Chemical Engineering

Herramientas

Process simulation tools

Process modeling software

Descripción del empleo

About the Role

Our client is seeking a highly analytical and results-oriented Process Optimization Engineer to join their fully remote team. In this critical role, you will focus on enhancing the efficiency, sustainability, and profitability of our client's chemical processes. You will utilize advanced data analysis, simulation tools, and statistical methods to identify bottlenecks, reduce waste, and improve overall operational performance. This is an excellent opportunity for a skilled engineer to make a significant impact on a global scale, working independently within a supportive and innovative remote culture. We value proactive problem-solvers who are driven to achieve excellence in process engineering.

Key Responsibilities

• Analyze complex chemical process data to identify key performance indicators (KPIs) and areas for improvement.
• Develop and implement strategies for process optimization, focusing on yield, energy consumption, and waste reduction.
• Utilize process simulation and modeling software to test optimization scenarios and predict outcomes.
• Collaborate with plant engineers and operations teams to implement and monitor optimization initiatives.
• Develop and maintain documentation related to optimized processes and best practices.
• Stay current with emerging technologies and methodologies in process optimization and data analytics.

Requirements

• Bachelor's degree in Chemical Engineering or a related quantitative field.
• 5+ years of experience in process engineering with a specific focus on optimization.
• Strong proficiency in data analysis and statistical software (e.g., Python, R, JMP).
• Experience with process simulation and modeling tools is essential.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and communicate effectively in a remote team environment.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement, offering maximum flexibility.
• Opportunities for professional growth and advanced training in optimization techniques.
• Access to cutting-edge software and analytical tools.
• A collaborative culture that encourages innovation and continuous improvement.