Our international team is working on the development of a modern, cloud-hosted data platform. We process vast amounts of big data using state of the art frameworks, artificial intelligence, and machine learning.
The processed data is geospatial data related to mobility. For example, we use a new method to automatically generate dynamic urban traffic models. The multimodal road network is recorded down to the smallest detail. Artificial traffic is simulated by describing people's daily activities - where they live, work, shop, and travel for leisure. This process involves integrating, combining, and enriching various data sources.
Our commitment to excellence extends to ensuring good data quality through intelligent automated testing. Stable, scalable, and reproduceable data processing takes place within a well-defined framework.
- As part of an international team, you will specify, develop and improve a cloud-based data platform that enables scalable data processing workflows based on Kubernetes.
- You will be actively involved in the integration of new technologies and ML/AI solutions into our products and services.
- You deal with data governance topics such as versioning, security and testability of data and their implementation.