Reliability Analytics Engineer - AI & Data Pipelines

Siemens Energy, Inc.; Santiago de Querétaro; On-site; MXN 900,000 - 1,200,000; Full time

Benefits offered by this job

Career growth opportunities

Health and wellness benefits

Paid time off and holidays

Annual performance bonus

Diversity and inclusion focus

Job summary

Siemens Energy, Inc. seeks a Technical Risk Analyst – Reliability Analytics to advance data-driven risk tools for gas turbine service projects. You will develop data pipelines, test predictive features, and support failure analysis and outage planning with fleet-wide reliability insights.

You will collaborate with multidisciplinary teams, apply AI-enabled capabilities where valuable, and ensure data governance and robust technical documentation across the portfolio.

Qualifications

• Experience with Python and statistical analysis for data processing and visualization.
• Ability to build and maintain data pipelines and transformation workflows.
• Familiarity with reliability analytics and predictive maintenance concepts.
• Strong technical documentation and code-management practices.

Responsibilities

• Develop, maintain, and improve data and analytics pipelines for reliability engineering.
• Ingest, transform, validate, and analyze engineering data using Python and analytics libraries.
• Support statistical and predictive models for component reliability and fleet risk.
• Collaborate with global teams and ensure data governance and security standards.

Skills

Python

Analytical libraries

Data pipelines

Statistical analysis

AI-powered tools

Technical documentation

Tools

Python

Job description

Siemens Energy, Inc. seeks a Technical Risk Analyst – Reliability Analytics to advance data-driven risk tools for gas turbine service projects. You will develop data pipelines, test predictive features, and support failure analysis and outage planning with fleet-wide reliability insights.

You will collaborate with multidisciplinary teams, apply AI-enabled capabilities where valuable, and ensure data governance and robust technical documentation across the portfolio.