<p>We are seeking a skilled Digital Twin Engineer to develop virtual replicas of physical assets and systems. The role blends systems engineering, simulation, and data analytics to improve performance and reliability. The successful candidate will collaborate with multidisciplinary teams to accelerate development and reduce operational cost.</p>
<p>This job description outlines the responsibilities, skills and qualifications needed to attract top candidates for the Digital Twin Engineer role.</p>
<h2>Digital Twin Engineer Job Profile</h2>
<p>The Digital Twin Engineer designs and maintains accurate virtual models that mirror real-world machinery, processes or systems. They use simulation, sensor data and analytics to predict behaviour and support decision making.</p>
<p>This profile suits engineers with experience in model-based systems engineering, software integration and an understanding of IoT and industrial data flows. Strong communication skills are essential to liaise with design, maintenance and data teams.</p>
<h2>Digital Twin Engineer Job Description</h2>
<p>The Digital Twin Engineer will create, validate and deploy digital replicas of physical assets across the asset life cycle. Responsibilities include developing physics-based and data-driven models, integrating real-time sensor data, and ensuring models remain synchronised with the physical counterpart. The role requires coding and scripting for simulation pipelines, working with cloud platforms for deployment, and collaborating with control and operations teams to implement improvements.</p>
<p>Working closely with subject matter experts, the engineer will run simulations to test design changes, forecast maintenance requirements and identify efficiency gains. They will set up automated data ingestion, cleansing and transformation routines, apply machine learning where appropriate, and produce actionable dashboards and reports for stakeholders. The position demands an analytical mindset and a pragmatic approach to balancing model fidelity with computational cost.</p>
<p>The engineer will also be responsible for documenting model assumptions, versioning models, and ensuring reproducibility of results. They will participate in design reviews, support commissioning activities and provide training to teams who will use the digital twin outputs for decision making.</p>
<h2>Digital Twin Engineer Duties and Responsibilities</h2>
<ul>
<li>Design, develop and maintain digital twin models using physics-based, statistical and machine learning techniques</li>
<li>Integrate IoT sensors, SCADA and historian data for real-time synchronisation</li>
<li>Validate and calibrate models against test and operational data</li>
<li>Develop simulation scenarios to assess performance, reliability and safety</li>
<li>Deploy models to cloud or edge environments and manage CI/CD pipelines for model updates</li>
<li>Create data pipelines for cleansing, aggregation and feature engineering</li>
<li>Work with software engineers to integrate models into product and maintenance workflows</li>
<li>Produce visualisations, dashboards and reports to communicate findings to stakeholders</li>
<li>Document modelling assumptions, version control, and maintain reproducible workflows</li>
<li>Support commissioning, testing and handover of digital twin solutions to operations</li>
<li>Provide training and technical guidance to cross-functional teams</li>
</ul>
<h2>Digital Twin Engineer Requirements and Qualifications</h2>
<ul>
<li>Degree in Mechanical, Electrical, Aerospace, Systems Engineering, Computer Science or related discipline</li>
<li>Proven experience in simulation, computational modelling or digital twin development</li>
<li>Strong programming skills in Python, MATLAB, Simulink or equivalent tools</li>
<li>Experience with IoT protocols, data ingestion and time series databases</li>
<li>Familiarity with cloud platforms such as AWS, Azure or Google Cloud for deployment</li>
<li>Knowledge of machine learning libraries and data analytics toolsets</li>
<li>A good understanding of control systems, PLCs or SCADA systems is desirable</li>
<li>Experience with containerisation and CI/CD for model deployment preferred</li>
<li>Excellent problem-solving, communication and stakeholder management skills</li>
<li>Ability to work in multidisciplinary teams and manage competing priorities</li>
</ul>