Thesis Time Series Databases - Cloud Backend

Liebherr Machines Bulle SA

Ulm, Germany
On-site
Time series database technologies
Data model for telemetry data
Backend service implementation
You will develop a concept and implementation of a data pipeline to store time series data in the context of a fleet management application

Job Summary

  • 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 include research and evaluation of different time series database technologies, development of a performance-optimized data model, and implementation of a backend service.
  • As a student you will enjoy a modern and comforting work environment with enthusiastic, highly supportive and open-minded colleagues in our Ulm office.

Matching Summary

You will develop a concept and implementation of a data pipeline to store time series data in the context of a fleet management application.

Skills & Requirements

Must-have

  • Time series database technologies
  • Data model for telemetry data
  • Backend service implementation
  • Data streaming technologies
  • Container technologies like Docker

Nice-to-have

  • Goal-oriented and independent work
  • Creative working environment
  • Enthusiastic and supportive colleagues

Key Requirements

  • Hands-on experience with databases
  • First experience in C# or Go
  • Basic knowledge in Docker and ideally Kubernetes
  • Profound communication skills in German and English

Work Rights

Not specified

Tailored Resume

Cover Letter