🛡️ Senior PLM Engineering Data Analyst (m/f/d) bei Rheinmetall Landsysteme GmbH in Unterlüß - Drive Digital Transformation

Join our team and drive the evolution of data-driven product development. We are looking for an expert to integrate advanced data engineering methods and tools into our product lifecycle management (PLM) databases.

Your Responsibilities

• Develop and implement scalable, reliable solutions for data integration, cleansing, and sophisticated processing.
• Collaborate with domain experts to extract actionable insights from development data.
• Design and deploy machine learning models, focusing on clustering, classification, and advanced text analysis.
• Optimize data structures using innovative algorithms to enhance information depth.
• Define technical requirements for data storage systems and automate engineering data provision.

Your Profile

• A degree in Computer Science, Engineering, Data Science, Mathematics, or a related field with a focus on analytics.
• Profound experience in semantic analysis and Natural Language Processing (NLP) for structured text evaluation.
• Strong proficiency in SQL, automation (PowerShell, scripts), and data visualization tools like PowerBI.
• Experience with PLM databases and object-oriented software development is highly beneficial.
• Familiarity with ML libraries such as scikit-learn, PyTorch, or TensorFlow and NLP frameworks like spaCy.
• Excellent communication skills in German and English, combined with an analytical mindset for complex data models.

What We Offer

• Opportunity to work on complex, large-scale systems in a leading technology group.
• Attractive financial benefits, including a company pension plan, employee stock purchase program, and profit sharing.
• Work-life balance through flexible working hours, flexitime, and support via the VIVA family service.
• On-site amenities such as subsidized catering and comprehensive fitness and health offerings.
• Continuous professional growth through internal and external training at the Rheinmetall Academy.
• A structured onboarding process supported by digital tools to ensure a smooth start.