Reliability Engineering - Experienced Professional (P2)

Siemens Energy, Inc.

Santiago de Querétaro

On-site

MXN 900,000 - 1,200,000

Full time

4 days ago

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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

Snapshot of Your Day

As a Technical Risk Analyst – Reliability Analytics for gas turbine service projects, you’ll contribute to the development and application of digital risk tools and reliability processes. Your day can shift rapidly. One moment, you may be advancing the development of data-driven risk prediction models or testing new predictive features in internal expert systems. Next, you may be supporting a failure analysis for a unit experiencing unexpected degradation or generating risk insights that inform outage planning and spare-parts decisions across the fleet. You will support digital risk capabilities, technical risk assessments, and fleet reliability modeling, enabling stronger decision-making across Service and New Units.

How You’ll Make an Impact

Develop, maintain, and improve data and analytics pipelines that support reliability engineering, fleet performance, and technical risk assessments. Apply statistical programming and analytical methods to identify trends, anomalies, degradation patterns, and opportunities to improve data quality and engineering decision-making.
Acquire, ingest, transform, validate, and analyze engineering and operational data using Python and relevant analytical libraries and visualization technologies.
Support the development of statistical and predictive models for component reliability, failure risk, degradation, and fleet risk. Translate model outputs, uncertainty, and engineering data into actionable insights for outage planning, maintenance strategies, and spare-parts decisions.
Support the integration of AI-powered tools, agents, and automation capabilities into internal software solutions and engineering workflows where they provide practical business value. Ensure compliance with data governance, information security, and data quality standards.
Collaborate with multidisciplinary global teams, including reliability engineers, service engineering teams, and data analytics specialists.
Stay current with relevant technologies and best practices in data engineering, statistical analysis, and software development.

What You Bring

Experience with:
Python and relevant analytical libraries for data processing, statistical analysis, visualization, and workflow automation.
Building and maintaining data pipelines and data transformation workflows.
Working with structured and semi-structured datasets.
Familiarity with:
Applying statistical and analytical methods to engineering or operational data. Experience with reliability analysis, uncertainty quantification, or predictive analytics is considered an advantage.
Software development practices, including version control, code reviews, testing, and collaborative development workflows.
Ability to create and maintain clear technical documentation.
Experience or interest in using AI-powered development tools and integrating AI-assisted capabilities into internal software applications and workflows.
Strong analytical and problem-solving skills.
Interest in reliability engineering, asset performance, predictive maintenance, or industrial analytics.
Ability to communicate effectively with technical and non-technical stakeholders.
Ability to work collaboratively in multidisciplinary and multicultural teams.
Passion for using data to improve engineering decisions and business outcomes.
Excellent written and verbal communication skills in English.

Experience in the energy sector, manufacturing, or another industrial environment is considered an advantage.

About the team:

You will join the Integrated Risk Management team (IRM) under Technical Excellence, a multidisciplinary team responsible for enabling Technical Risk Philosophy, guiding product safety evaluations, and providing reliability insights across the fleet. You will collaborate closely with global engineering teams, digital platform owners, product safety leads, and service operations to deliver high-impact risk intelligence and support fleet performance.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy:

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, gender identity, sexual orientation or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits