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)

Qualifications

• Bachelor or master’s studies in progress in Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable fields

• Basic Python programming skills

• Affinity to working with data

• Organized, accurate, thorough, and able to monitor work for quality

• Excellent communication skills in English, both spoken and written

Additional Information

LikeABosch Benefits:

Your work-life balance is valuable to us, so we offer you:

• 25 Days of annual leave, because work-life balance is essential to us;
• Flexible working hours.

Your health and well-being is important to us, so we have you covered:

• Medical subscription;
• Accident insurance;
• Sport activities and well-being initiatives.

We believe in a Life-Long Learning approach, so you can take advantage of:

• Technical and soft skills trainings;
• Access to e-learning platforms;
• Local and Global career development programs;
• Opportunity to attend conferences;
• Bookster subscription.

You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.

On top of these, we are offering:

• A monthly budget which can be used for several different services on an online benefit platform;
• Annual bonus;
• Lunch discounts.

Ready to work LikeABosch?

We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.