PLM Inhouse Consultant

YOUR TASKS:

• Contribute to the development, configuration, and stable operation of the PLM infrastructure in alignment with the overall system architecture.
• Contribute to the conceptualization, detailed design, and implementation of PLM solutions in Siemens Teamcenter based on business requirements and architectural guidelines.
• Take responsibility for technical delivery within projects of varying complexity in a fast-developing environment.
• Collaborate with cross-functional, international teams to ensure successful PLM implementations.
• Take part in post-go-live stabilization, continuous improvement, and administration of the Teamcenter landscape.
• Work closely with the Senior Expert System Architect to align solution designs, implementation decisions, and long-term evolution of the Teamcenter landscape.

Your Profile:

• A bachelor's degree in engineering, computer science, or a comparable qualification.
• A strong technical mindset and experience in software-oriented or system-oriented roles.
• Hands-on experience in programming or scripting (e.g. Java, Python, or similar).
• Exposure to complex IT environments; experience with servers or databases is an advantage.
• A proactive, structured working style with strong analytical and problem-solving skills.
• Experience turning technical concepts into implemented, testable, and supportable solutions in an enterprise IT or PLM environment.
• Very good communication skills and confidence working with international teams.
• Fluent English; German or Spanish are a plus.

Nice to have / advantageous:

• Experience with Siemens Teamcenter in engineering or enterprise environments.
• Experience with Teamcenter installation or deployment tools (e.g. TEM, Deployment Center, MS Intune).
• Experience with reporting and analytics tools such as Power BI or Teamcenter Reporting & Analytics is an advantage.
• Knowledge of the Teamcenter data model and BMIDE.
• Experience with integrations, e.g. Active Integration Gateway or interfaces to SAP.
• Experience in renewable energy or similar industrial sectors.
• Interest or first hands-on experience in applying AI or data-driven approaches in engineering or PLM-related contexts.