Thesis time series databases - Cloud Backend

• Research and evaluation of different time series database technologies with respect to the product requirements and performance-related aspects
• Development of a performance-optimized data model for storing machine telemetry data
• Implementation of a backend service for storing incoming telemetry data in a suitable time series database using the developed data model
• Development of a strategy for migrating existing time series data to the new data model
• Performance evaluation of the developed solution

• Hands-on experience with databases, ideally time series databases
• First experience in programming languages such as C# or Go
• Basic knowledge in container technologies like Docker and ideally Kubernetes
• Ideally first experience with data streaming & messaging technologies like Apache Kafka/Redpanda/MQTT
• Strong ability to work goal-oriented and independently while being aligned with the development team
• Profound communication skills in both German and English

As a student you will enjoy a modern and comforting work environment with enthusiastic, highly supportive and open-minded colleagues in our Ulm office.

You will profit from those benefits:

• Flexible and hybrid working
• Attractive renumeration
• Space for creative working
• Employee benefits and discounts

Liebherr-Digital Development Center GmbH in Ulm develops digital solutions for the entire Liebherr Group. Our passionate team from the areas of software development, engineering and data science works together on various projects from the whole Liebherr product world. Our mission: creating outstanding digital experiences!, Liebherr-Digital Development Center GmbH