Data Engineer

• Design, build, and maintain scalable data pipelines that ingest, transform, and process automotive parts and vehicle data from multiple sources
• Partner with Product, Engineering, and Customer teams to deeply understand data needs and ensure customers are set up for success
• Implement best practices in data engineering — schema management, version control, testing, validation, and monitoring
• Optimise performance and cost of pipelines and infrastructure while maintaining reliability and scalability
• Develop visualisations and APIs to surface insights and power customer-facing features
• Collaborate cross-functionally to solve customer problems and ensure data solutions meet business requirements
• Build reusable data models and transformation logic to generalise structures for new customers and markets
• Act as a technical voice for data within the organisation, shaping how Partly builds, manages, and scales its data platform

Founding Data Engineer

Working Student – Data Engineering, Prozessautomatisierung

Lead Data Engineer

Manager, IT – Data Engineering

Scientific Data Engineer

Data Engineer