Remote Industrial Engineer - Digital Twin Development

Placements24; Richards Bay; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Job summary

Placements24 is seeking a Remote Industrial Engineer to design and implement Digital Twin models for core manufacturing processes in South Africa, collaborating with global teams.

The ideal candidate has 6+ years in industrial engineering, hands-on simulation and data analytics, proficiency in Python or R, IoT integration, and strong visualization and remote collaboration skills. This fully remote role offers a competitive salary and growth opportunities.

Qualifications

• 6+ years in industrial engineering or related field focusing on process modeling, simulation, and data analysis.
• Experience developing and implementing digital twin solutions or similar simulation projects.
• Proficiency with simulation tools and programming for data analysis.

Responsibilities

• Design, develop, and implement digital twin models for key manufacturing processes.
• Integrate real-time data from IoT sensors, SCADA, and MES into digital twins.
• Develop predictive maintenance and optimization algorithms using digital twin data.
• Create dashboards and visualizations to communicate insights to stakeholders.

Skills

Digital Twin

Process Modeling

Data Analysis

Python/R

IoT integration

Data Visualization

Remote collaboration

Project management

Education

Bachelor's or Master's in Industrial Engineering/related field

Quantitative field

Tools

AnyLogic

Siemens Tecnomatix

Python

R

Tableau/Power BI

Job description

About the Role

Our client, a global leader in specialized chemical production, is seeking a highly innovative and experienced Remote Industrial Engineer to focus on Digital Twin development and implementation. This is a fully remote position, offering the flexibility to work from anywhere within South Africa, with a focus on supporting operations that include facilities near Richards Bay, KwaZulu-Natal. You will be instrumental in creating sophisticated virtual replicas of our physical manufacturing processes, enabling advanced simulation, real-time monitoring, predictive analytics, and optimized control strategies. This role requires a deep understanding of industrial processes, data science, simulation tools, and modern software development practices to build and maintain these complex digital models. You will collaborate virtually with global teams to drive efficiency and innovation.

Key Responsibilities

• Design, develop, and implement comprehensive digital twin models for key manufacturing processes and assets.
• Integrate real-time data from IoT sensors, SCADA systems, and MES platforms into the digital twin.
• Develop and deploy algorithms for predictive maintenance, anomaly detection, and process optimization using digital twin data.
• Utilize simulation tools to test 'what-if' scenarios, evaluate process changes, and optimize operational performance remotely.
• Collaborate closely with process engineers, IT specialists, data scientists, and operations teams across different geographical locations.
• Develop dashboards and visualizations to communicate insights derived from the digital twin to stakeholders.
• Document the architecture, development process, and operational guidelines for the digital twin solutions.
• Stay abreast of emerging technologies in digital twins, AI, IoT, and advanced analytics and propose their application.

Requirements

• Bachelor's or Master's degree in Industrial Engineering, Chemical Engineering, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in industrial engineering or a related field, with a strong focus on process modeling, simulation, and data analysis.
• Proven experience in developing and implementing digital twin solutions or similar advanced simulation/modeling projects.
• Proficiency in simulation software (e.g., AnyLogic, Siemens Tecnomatix) and experience with programming languages like Python or R for data analysis and modeling.
• Understanding of IoT platforms, sensor data integration, and cloud computing environments.
• Excellent data visualization skills and experience with tools like Tableau, Power BI, or custom dashboards.
• Strong remote collaboration and communication skills, with the ability to work independently and manage projects effectively.
• Prior experience supporting operations in the chemical or manufacturing sectors is a plus.

Benefits

• This fully remote role offers a competitive salary, performance bonuses, and a flexible work environment.
• Our client provides a comprehensive benefits package including health insurance, retirement savings plans, and continuous professional development opportunities.
• Access to cutting-edge technology and the chance to work on groundbreaking digital transformation projects are key advantages.
• Contribute to a global industry leader while enjoying the freedom and flexibility of remote work, supporting operations that include the Richards Bay, KwaZulu-Natal region.