Job
- Level
- Junior
- Job Field
- Application
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Schweinfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will enhance CAD and PLM processes, develop a Python automation framework, and create technical concepts for a scalable Model-Based Definition system.
Job Technologies
Your role in the team
- Participation in the analysis and redesign of CAD and PLM processes as part of the transformation towards Model-Based Definition.
- Development and design of a modular automation framework in Python - including data extraction, PMI validations, rule checks, and automated reporting.
- Development of technical concepts, architectural components, and interfaces for a scalable system of automation modules.
- Support in defining and standardizing MBD methods, quality rules, and best practices.
- Creation of automated reports, dashboards, and visualizations.
- Close collaboration with manufacturing, quality, procurement, and global engineering teams.
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Our expectations of you
Qualifications
- Enrollment in Mechanical Engineering, Mechatronics, Computer Science, or similar.
- Basic knowledge in CAD/MBD or motivation to quickly get up to speed.
- Good Python skills.
- Enthusiasm for automation, data flows, and engineering methodology.
- Structured working style and team skills.
Experience
- Experience with Git; Creo/Windchill is an advantage.
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What we offer
- Tasks with direct impact.
- Flexible working hours & hybrid work.
- Insights into global development and manufacturing processes.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
SKF GmbH
As an established company, SKF GmbH is a significant player in the rolling bearing and sealing technology sector. It is part of the global SKF Group and provides innovative solutions to numerous industries.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Engineering Industry