Reliability Risk Analytics Engineer

Siemens Energy, Inc.; Santiago de Querétaro; Vor Ort; MXN 700.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

Career growth

Health benefits

Paid time off

Parental leave

Performance bonus

Diversity & inclusion

Work-life balance

Zusammenfassung

Siemens Energy is seeking an experienced Reliability Analytics professional to develop and maintain data pipelines for fleet performance and risk assessment. You will ingest and analyze engineering data with Python, build predictive models, and help integrate AI-powered tools into internal processes.

You will collaborate with reliability engineers, service teams, and data specialists to drive actionable insights and improve outage planning and maintenance strategies across the fleet.

Qualifikationen

• Proficient in Python and analytical libraries for data processing and visualization.
• Experience building and maintaining data pipelines and transformation workflows.
• Experience with structured and semi-structured datasets and statistical methods.
• Knowledge of reliability analytics, predictive maintenance, or risk modeling is beneficial.

Aufgaben

• Develop, maintain and improve data pipelines for reliability analytics and fleet performance.
• Ingest, transform, validate and analyze engineering and operational data using Python.
• Support development of statistical and predictive models for component reliability and risk.
• Integrate AI-powered tools into internal software workflows with data governance in mind.
• Collaborate with global teams of reliability engineers and data scientists.
• Stay current with data engineering trends and best practices.

Kenntnisse

Python

Data pipelines

Structured data

Statistical analysis

AI tools integration

Documentation

Cross-functional collaboration

English communications

Tools

Git

Jobbeschreibung

Siemens Energy is seeking an experienced Reliability Analytics professional to develop and maintain data pipelines for fleet performance and risk assessment. You will ingest and analyze engineering data with Python, build predictive models, and help integrate AI-powered tools into internal processes.

You will collaborate with reliability engineers, service teams, and data specialists to drive actionable insights and improve outage planning and maintenance strategies across the fleet.