Data Engineer for Connected Services

As a Data Engineer in the Engineering and Data Solutions department 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.
In your role you will:
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 internationally distributed team and collaborate closely with key stakeholders (Project Leaders, Product Owners, Solution Architects)
Present and communicate solutions to an international audience
Guide and mentor new team members
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)
BSc and/or MSc in Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable fields
Minimum 2 years' experience as Data Engineer working on Data integration platforms
Proficient Python programming skills
Developing quick prototypes for data transformations
Operations with tables in relational (or non) DBs
Reporting and monitoring
Organized, accurate, thorough, and able to monitor work for quality
Excellent communication skills in English, both spoken and written
Preferential: Practical experience in project coordination roles (e.g. product owner, agile master etc.)

Employment type
Full-time

Work arrangement
Hybrid