PLM Engineering Data Analyst (m/f/d)
Technologie
Kiel, DeutschlandVor 1 MonatenBis 22.5.2026
VollzeitVor Ort
Stellenbeschreibung
wherewework.hu a
Rheinmetall Magyarország nevében
What We Are Looking For
- Introduction of data engineering methods and tools for our product management databases as part of development-centered product lifecycle management (PLM)
- Development of intelligent, scalable, reusable, and reliable solutions and methods for data analysis, integration, cleansing, and processing
- Generation of new insights together with our domain and data experts (m/f/d) from our development departments and partners (m/f/d)
- Category development to convert these into more informative data structures using clustering and classification algorithms
- Development of machine learning models, especially in the areas of clustering, classification, and text analysis
- Defining and implementing requirements within the framework of data storage and processing systems
- Supporting the automatic provision of engineering data for the application areas of collaborative engineering and digital management of product development data
- Successfully completed degree, e.g., in computer science, engineering, data science, or mathematics, or a comparable qualification with a focus on data science or data analytics
- In-depth experience with semantic analysis methods (e.g., natural language processing) for the structured evaluation of text-based data
- Good knowledge of database queries and automation with SQL (PowerShell, scripts, PowerBI), data visualization, and data queries, as well as object-oriented software development
- Professional experience with PLM databases and data models is an advantage
- Knowledge of NLP frameworks (e.g., spaCy, NLTK, transformers) and ML libraries such as scikit-learn or PyTorch/TensorFlow is desirable
- High willingness to understand complex data models, grasp semantic relationships, and analytically process domain-specific knowledge
- Very good written and spoken German and English skills
- Strong communication skills and ability to work in a team
What We Offer You
At our location in Kassel, we offer you:
- Work on complete systems
- Company pension plan
- Employee stock purchase program Profit sharing
- Flexible working time models, flexitime model, and VIVA family service
- Subsidized lunch and kiosk on site
- Fitness and health offerings
- Corporate benefits platform with exclusive employee discounts for numerous shops
- Discounted job ticket
- Individual and diverse external and internal development opportunities, including at the Rheinmetall Academy
- Professional induction process accompanied by a digital onboarding tool
CONTACT INFORMATION
Contact Person: Valeria Wiebe For questions regarding your application, please use the contact form.
Keywords
TensorFlowOCamlPyTorchSpaCyScikit-learnNatural Language ToolkitPowershellSql
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