Working Student Data Engineering

We are looking for university students that are interested in gaining experience in Data Engineering. 

As a Working Student in the Data Engineering group, you will work with us on creating software products with a strong focus on security, quality and automation for continuous data flow in the scope of vehicle-to-cloud ecosystem, working together with an internationally distributed team, in a hybrid working model. Become part of our team and join us in creating state of the art data products. 

As a member of our team you take part in topics such as: 

• Develop data integration solutions for large scale automotive R&D applications 

• Design, test and document, reliable and excellent quality data integration solutions 

• Design Proof-of-concepts and pitch for implementation. 

• Contribute to the architecture and implementation of software products for (near)-real time processing. 

• Develop solutions for scalable and automatic data processing, involving Extract, Load, Transform (ETL/ELT) in Big Data frameworks 

• Create and maintain data visualizations in close collaboration with domain experts 

• Work in an agile environment with an international team of experienced colleagues 

• Learn new technologies under the guidance of your mentor 

Technology stack: 

• Python (with focus on data libraries: pandas, numpy, scipy etc.) 
  Optional: Golang, Scala, Java 

• Apache Spark / Pyspark 

• Big Data platforms: on premises (Hadoop) and Cloud (Azure Databricks/Synapse/Data Factory) 

• Automation: Azure DevOps/Pipelines / Apache Airflow / Jenkins 

• Streaming and Messaging: Apache Kafka, RabbitMQ, MQTT 

• Virtualization: Docker/Kubernetes 

• Relational DBs (Oracle, mySQL) and noSQL DBs (MongoDB) 

• Data Visualization (e.g. Tableau, PowerBI) 

• Version source control (e.g. Git, Bitbucket)