Project Engineer - Predictive Analytics & Digital Maintenance

Work on data driven maintenance projects across the full value chain - from sensors to onboard architecture to communication gateways to off board analytics systems. Contribute to the development of condition monitoring use cases by identifying how to leverage available data for condition monitoring. Contribute to the development, design, and scaling of condition monitoring solutions within the Stadler telemetry ecosystem. Bridge onboard train architectures and off-board analytics systems to identify practical, scalable solutions. Analyze system behavior by tracing control logic and communication flows across trains and their subsystems.

Stadler offers a wide range of international career opportunities. Here you get the chance to grow beyond yourself, take on responsibility and deliver top performance in committed teams. We are looking for motivated talents who want to shape the mobility of tomorrow with us. Are you ready to achieve great things with us?

• Familiarity with TCMS architecture concepts such as CAN and TRDP

• Basic Python skills or genuine interest in developing them

• Ability to analyze and understand software using Function Block Diagrams (FBD)

• Experience with version control systems for software and documentation, including GitLab or SVN

• Ability to clearly explain technical concepts and contribute to knowledge exchange in a collaborative, cross-functional team

• Proactive problem solver, comfortable with exploring questions, proposing solutions, and adapting approaches when challenges arise

• Strong interest in leveraging data to improve maintenance

• Working fluency in English and German