Gas Turbine Digitalization Solutions Engineer
Siemens · Posted Oct 19
Industrial automation, software, infrastructure, and medical technology solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
The role sits in Siemens Energy's global Service Engineering digitalization team supporting the large steam and gas turbine business, which provides maintenance, digital services, modernization and control/digitalization solutions to power utilities, IPPs, EPC firms, and industrial clients. The team builds fleet monitoring and service-response tools and data platforms covering maintenance records, outage reports, and sensor data. This engineer designs and scales data- and AI-driven solutions end to end, including Snowflake pipelines and models, GenAI agents and RAG-based document analysis, workflow automation, and technical leadership alongside the Product Owner.
What you will do
- Design, develop, and maintain digital solutions for Service Engineering, including fleet monitoring and analysis tools such as the Fleet Monitoring Tool, Service Response Intelligence (SRI), SEDOP, and Snowflake-based solutions and agents.
- Build and maintain data pipelines, data models, and analytics in Snowflake and relational databases (Oracle / SQL), integrating sources such as maintenance and service records (PCM), outage reports, and sensor data.
- Develop AI and GenAI solutions – agents, knowledge search / RAG, and LLM-based document and report analysis – using platforms such as Snowflake (Cortex), Microsoft Copilot Studio, and Azure OpenAI.
- Automate engineering workflows using Python, Excel / VBA, and Power Automate.
- Translate engineering requirements into technical designs and act as technical lead alongside the Product Owner, contributing to backlog refinement, estimation, and delivery planning.
- Drive data quality, governance, and data-access topics together with data owners and IT, ensuring solutions are secure, compliant, and maintainable.
- Mentor and technically guide engineers through code reviews, best practices, and knowledge sharing.
- Create documentation, training material, and demos, and support user adoption and stakeholder communication, including updates for leadership.
Skills used in this role
What the employer is looking for
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or Electrical / Electronic / Mechatronic / Mechanical Engineering.
- 5+ years of professional experience in software development, data engineering, or data / AI solutions in an Industrial, energy, or engineering environment.
- Strong programming skills in Python and SQL; experience with Java, C#, or JavaScript is a plus.
- Hands-on experience with cloud data platforms (Snowflake preferred) and relational databases (Oracle preferred), including data modeling and performance optimization.
- Proven experience delivering AI / ML or GenAI solutions to production (LLMs, prompt engineering, RAG, AI agents).
- Experience with Microsoft 365 and Power Platform (Copilot Studio, Power Automate, Power BI, SharePoint) and Excel / VBA automation.
- Experience developing applications with Mendix (low-code platform).
- Experience with AI-assisted (vibe coding) development using VS Code or Cortex Desktop.
- Knowledge of Alteryx is desirable.
- Solid software engineering practices: object-oriented design, Git, CI/CD, automated testing, and Agile / Scrum.
- Knowledge of power generation equipment (e.g., gas turbines) or service / maintenance data is a strong plus.
- High ownership and ability to work independently, with excellent communication skills for both technical and non-technical stakeholders.
- Excellent written and spoken English is a must.
- Willingness to work with partial time-zone overlap with Europe and the Americas.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Siemens
Siemens AG is a global technology powerhouse focused on industry, infrastructure, transport, and healthcare. The company creates smart digital enterprise solutions, industrial automation, and software to help customers transform industries and digitalize operations worldwide.
- Industry
- Industrial Automation
- Company size
- 318,000+ employees
- Founded
- 1847-10-12
- Location
- Munich, Germany
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
Chief Financial Officer
Chief Technology Officer and Chief Strategy Officer
Recent coverage
EE News Europe
Siemens invests in Skeleton to tackle AI data center power spikes2026-10-15
Automation World
Siemens Joins Robots For America, Investing In Robotics Growth And Policy2026-10-15
Siemens Press Release
Siemens' Tessent ecosystem enables direct test pattern execution via PCIe and USB2026-10-13