We are looking for a motivated student (m/f/d) for thesis (Bachelor/Master) in the area of time series databases to support our Cloud Applications team in Ulm.
You will develop a concept and implementation of a data pipeline to store time series data in the context of a fleet management application.

Your responsibilities

• 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

Your qualifications

• 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

Our offer

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

Have we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Lena Dangel.

One Passion. Many Opportunities.