Digital Twin Engineer Job Vacancy in Ndola, Zambia – Manufacturing

Job Description

Position:Digital Twin Engineer

Company:Mondi Zambia

Location:Ndola, Zambia

Experience:5+ years in engineering, with focus on digital twin technologies

Education:Bachelor’s degree in Mechanical Engineering or related field

Employment Type:Full-time

Industry:Manufacturing

Department:Engineering

Salary:SSP 150,000 – 250,000 per month

Vacancies:1

Company Overview

Mondi Zambia is a leading global packaging and paper group with a strong presence in Southern Africa. Operating state‑of‑the‑art facilities in Ndola, the company produces high‑quality corrugated packaging, containerboard, and specialty papers for a diverse range of industries. Mondi is committed to sustainable manufacturing, circular economy principles, and continuous innovation. As part of its strategic growth plan, Mondi Zambia is expanding its digital transformation initiatives, leveraging advanced simulation, data analytics, and digital twin technologies to optimise production efficiency, reduce waste, and enhance product quality. This commitment creates exciting career opportunities for forward‑thinking engineers who want to shape the future of manufacturing in Zambia. The role contributes directly to Mondi’s vision of becoming a carbon‑neutral, technology‑driven leader in the region, offering a dynamic environment where creativity and technical expertise are highly valued.

For more information about Mondi’s global operations, visit the Main Website.

Job Overview

The Digital Twin Engineer will design, develop, and maintain virtual replicas of Mondi’s manufacturing assets, including production lines, machinery, and process workflows. By integrating real‑time sensor data with advanced simulation models, the engineer will enable predictive maintenance, process optimisation, and scenario testing. This role sits at the intersection of mechanical engineering, data science, and industrial IoT, providing critical insights that drive operational excellence. The successful candidate will collaborate with cross‑functional teams, including production, maintenance, IT, and sustainability, to ensure that digital twin solutions align with business objectives and regulatory standards. This position offers a unique platform to apply cutting‑edge technology in a traditional manufacturing setting, enhancing both efficiency and environmental performance.

Explore additional regional opportunities at Additional Website 1.

Key Responsibilities

• Develop high‑fidelity digital twin models of production equipment and processes using CAD, simulation software, and IoT platforms.
• Integrate real‑time data streams from sensors, PLCs, and SCADA systems into digital twin environments.
• Perform predictive analytics to forecast equipment failures, optimise throughput, and reduce energy consumption.
• Collaborate with maintenance teams to design condition‑based maintenance schedules based on digital twin insights.
• Support continuous improvement initiatives by running virtual experiments and scenario analyses.
• Document model architectures, data flows, and validation results for internal and external audits.
• Provide training and technical support to plant operators and engineers on digital twin usage.
• Stay current with emerging technologies such as AI‑driven simulation, edge computing, and digital thread concepts.

Required Skills

• Proficiency in 3D modelling and simulation tools (e.g., Siemens NX, ANSYS, Dassault Systèmes).
• Strong programming skills in Python, C++, or Java for data integration and algorithm development.
• Experience with industrial IoT platforms, OPC-UA, MQTT, and data historians.
• Knowledge of machine learning techniques for predictive maintenance.
• Excellent problem‑solving abilities and analytical mindset.
• Effective communication skills for cross‑departmental collaboration.
• Project management experience with Agile or Scrum methodologies.

Education

A Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related discipline is required. A Master’s degree or professional certifications in Digital Twin, Industrial Automation, or Data Science are highly desirable.

Experience

Minimum of five (5) years of engineering experience in a manufacturing environment, with at least two (2) years focused on digital twin development, simulation, or advanced analytics. Prior experience in the paper, packaging, or related heavy‑industry sectors is an advantage.

Salary

The competitive remuneration package ranges from SSP 150,000 to SSP 250,000 per month, commensurate with experience and qualifications. The package includes performance‑based bonuses, health insurance, and pension contributions.

Benefits

• Comprehensive medical and dental coverage.
• Retirement savings plan with employer matching.
• Annual performance bonus.
• Professional development allowance.
• Employee assistance program.
• Transportation allowance for commuting.

Training

• On‑boarding program covering Mondi’s safety standards, sustainability goals, and digital transformation roadmap.
• Access to industry‑leading courses on digital twin technology, AI, and data analytics.
• Mentorship from senior engineers and data scientists.
• Opportunities to attend international conferences and workshops.

Working Environment

Mondi Zambia offers a collaborative, safety‑first workplace where innovation is encouraged. The Ndola plant features modern facilities, advanced automation, and a culture that values continuous learning. Employees benefit from a supportive team atmosphere, clear career pathways, and a commitment to work‑life balance.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on Mondi’s careers page. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site technical assessment.

For further details on the application steps, visit Additional Website 2.

Equal Opportunity Statement

Mondi Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, or sexual orientation. All qualified applicants will receive consideration for employment without discrimination.