Predictive Asset Analytics Engineer (Hybrid)

Capgemini Engineering; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medicover healthcare

Private life insurance

Hybrid work model

Job summary

Capgemini Engineering is seeking 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 historian data into high-fidelity digital twins to power reliability decisions.

You will map data sources to standard data models, apply SBM/EML techniques, and develop reusable analytic blueprints for pumps, motors, and transformers.

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, plus SQL skills for querying CMMS systems (Maximo, SAP PM) and Historian databases.
• Experience with industrial data systems including PI, OPC, and IP21 historians, and familiarity with API data extraction tools such as Postman.
• Structured, detail-oriented approach to data quality and model governance, with lifecycle management of training, tuning, retraining, and performance monitoring across large asset fleets.

Responsibilities

• Own end-to-end deployment of predictive models across industrial asset fleets.
• Map historian data sources (PI, OPC, IP21) to the SmartSignal Data Model, ensuring data quality and lineage.
• Develop Analytic Blueprints for asset classes like pumps, motors, and transformers for scalable deployments.
• Monitor model performance using metrics and retrain after asset overhauls, tuning thresholds to minimize false positives.
• Write Python scripts for data manipulation, feature engineering, and custom analytics.

Skills

Python (Pandas/NumPy)

SQL

Data analytics

Reliability engineering

Model governance

Tools

SmartSignal

Aspen Mtell

AVEVA PRiSM

Postman

Maximo

SAP PM

Job description

Capgemini Engineering is seeking 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 historian data into high-fidelity digital twins to power reliability decisions.

You will map data sources to standard data models, apply SBM/EML techniques, and develop reusable analytic blueprints for pumps, motors, and transformers.