YourLiebherrCareer Thesis time series databases Cloud Backend

SmartDevice; Ulm; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology company in Ulm is seeking a motivated student for a thesis in time series databases. This role involves researching database technologies, developing a data model, and implementing backend services for telemetry data. Ideal candidates will have experience with C# or Go, Docker, and excellent communication skills in both German and English. Enjoy a flexible and creative work environment with supportive colleagues.

Leistungen

Flexible and hybrid working

Space for creative working

Employee benefits and discounts

Qualifikationen

• 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 Kubernetes.
• Experience with data streaming & messaging technologies.

Aufgaben

• Research and evaluate time series database technologies.
• Develop a performance-optimized data model for telemetry data.
• Implement a backend service for storing telemetry data.
• Develop a strategy for migrating existing time series data.
• Evaluate the performance of the developed solution.

Kenntnisse

Hands-on experience with databases

Programming languages like C# or Go

Knowledge in container technologies like Docker

Experience with data streaming technologies

Goal-oriented and independent work

Communication skills in German and English

Tools

Docker

Kubernetes

Apache Kafka

Redpanda

MQTT

Jobbeschreibung

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
• 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.

The company

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!

Location

Liebherr‑Digital Development Center GmbH

Konrad‑Zuse‑Straße 4

89081 Ulm

Germany (DE)

Contact

Lena Dangel

Employment Type: Full‑Time

Experience: years

Vacancy: 1