Senior Predictive Asset Analytics Engineer

Capgemini Engineering; Wrocław; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Capgemini Engineering is recruiting an Asset Analytics Engineer focused on Smart Signal and predictive modelling. You will own end-to-end deployment of predictive models across industrial asset fleets, transforming raw historian data into digital twins that support reliability decisions.

You will leverage platforms like SmartSignal, Aspen Mtell or AVEVA PRiSM, develop analytic blueprints, and ensure data quality and governance across deployments. Hybrid working model is offered.

Qualifications

• 5+ years of experience in data analytics, reliability engineering, or a related field.
• Hands-on experience with platforms such as SmartSignal, Aspen Mtell, or AVEVA PRiSM, including blueprint and model review workflows.
• Strong Python (Pandas, NumPy) for data manipulation and custom analytics development.
• Solid SQL skills for querying CMMS systems (Maximo, SAP PM) and Historian databases.

Responsibilities

• Performing end-to-end deployment of predictive models across industrial asset fleets.
• Map historian data sources to the SmartSignal Standard Data Model ensuring data lineage and quality.
• Developing analytic blueprints for pumps, motors, transformers to enable scalable deployment.
• Monitor model performance, retrain after overhauls, tune thresholds to minimize false positives.
• Write Python scripts for data manipulation, feature engineering and rule development.

Skills

Python

Pandas

NumPy

SQL

Data analytics

Reliability engineering

Tools

SmartSignal

Aspen Mtell

AVEVA PRiSM

PI Historian

OPC

IP21

Postman

Job description

Capgemini Engineering is recruiting an Asset Analytics Engineer focused on Smart Signal and predictive modelling. You will own end-to-end deployment of predictive models across industrial asset fleets, transforming raw historian data into digital twins that support reliability decisions.

You will leverage platforms like SmartSignal, Aspen Mtell or AVEVA PRiSM, develop analytic blueprints, and ensure data quality and governance across deployments. Hybrid working model is offered.