Predictive Asset Analytics Engineer

Capgemini; Poland; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Capgemini Helpline

Wellbeing podcast on Spotify

Hybrid working model

Job summary

Capgemini Engineering is seeking an Asset Analytics Engineer specializing in Smart Signal and Predictive Modelling. You will deploy predictive models across industrial asset fleets, transforming raw historian data into digital twins to drive reliability decisions.

You'll work with platforms like SmartSignal, Aspen Mtell, or AVEVA PRiSM, write Python scripts, and ensure data quality across pipelines. Capgemini offers a hybrid model and a supportive wellbeing program.

Qualifications

• 5+ years of experience in data analytics, reliability engineering, or a related field.
• Hands-on experience with SmartSignal, Aspen Mtell, or AVEVA PRiSM platforms and model review workflows.
• Strong Python (Pandas, NumPy) for data manipulation and analytics development; solid SQL skills for querying CMMS systems and Historian databases.
• Experience with industrial data systems including PI, OPC, IP21 historians; familiarity with API data extraction tools such as Postman.

Responsibilities

• Owning end-to-end deployment of predictive models across industrial asset fleets.
• Developing and maintaining Analytic Blueprints for asset classes like pumps, motors, and transformers.
• Data mapping of historian sources (PI, OPC, IP21) to SmartSignal data models; ensure data lineage and quality.
• Monitoring model performance with precision/recall metrics; retraining after overhauls and threshold tuning.
• Writing Python scripts for data manipulation, feature engineering, and custom analytics.

Skills

Python

Pandas

NumPy

SQL

Maximo

SAP PM

OPC/PI data

Postman/API data extraction

Tools

Postman

Job description

Capgemini Engineering is seeking an Asset Analytics Engineer specializing in Smart Signal and Predictive Modelling. You will deploy predictive models across industrial asset fleets, transforming raw historian data into digital twins to drive reliability decisions.

You'll work with platforms like SmartSignal, Aspen Mtell, or AVEVA PRiSM, write Python scripts, and ensure data quality across pipelines. Capgemini offers a hybrid model and a supportive wellbeing program.