Project Engineer - Predictive Analytics & Digital Maintenance

How you can make an impact

• 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 
• Working fluency in English and German 
• 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 

Your Experience

• Experience in developing analytics solutions and a proven track record of implementing them to optimize complex industrial processes or enhance asset performance in real-world environments
• Familiarity with TCMS architecture concepts such as CAN and TRDP 
• 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
• Working fluency in English and German

Beneficial skills

• Experience with Selectron tools 
• Experience supporting or managing projects, coordinating technical teams to deliver within scope, timeline, and resource constraints 
• Experience creating or guiding visualizations that support effective decision‑making for engineering, maintenance, and business teams 
• Experience or interest in assessing technical and operational risks, including cyber‑related threats, and supporting mitigation planning across the digital value chain