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 masters 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 :

Benefits

# 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 and if you want to work from somewhere else than the office our Home Office program helps you do that 70% of your working time/month.

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.

Remote Work :

No

Employment Type :

Intern