Asset Analytics Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.

Where you can make a difference. Where no two days are the same. Your role As an Asset Analytics Engineer with a focus on Smart Signal and Predictive Modelling, you will take ownership of the end-to-end technical deployment of predictive models across industrial asset fleets.

Leveraging platforms such as Smart

Signal (GE Vernova), Aspen Mtell, or AVEVA PRiSM, you will transform raw historian data into high-fidelity digital twins that power reliability decisions. Your tasks Performing complex tag mapping of historian data sources (PI, OPC, IP21) to the Smart

Signal Standard Data Model, ensuring data lineage, quality, and consistency across fleet-level deployment Applying Similarity-Based Modelling (SBM) and Empirical Model Learning (EML) techniques to establish accurate "Normal" operating profiles, selecting Gold Standard training windows that represent healthy asset state Developing and maintaining Analytic Blueprints - reusable templates for common industrial asset classes such as pumps, motors, and transformers - to enable rapid and scalable d