Project Overview:

For decades we are champions of the mobility industry. With our smart mobility solutions, we connect businesses and lives across Europe. Our fuel cards, tolls, and refund secure mobile solutions are working on the base of Europe's biggest station network. We enable true borderless logistics and transportation, payment, and fleet management solutions.

Now we are progressing to the next level: in times of digitization and climate change, our company aims to continue its tradition as the one mobility service provider that keeps its customers driving.

Become part of a dedicated and professional team that helps shape commercial mobility throughout Europe.

Тетяна Рудченко
  • Working in an innovative and fast growing environment as strong business communicator.
  • Developing and maintaining a scalable, cloud-native data landscape by laying a new foundation for gaining insights and business value from data at DKV.
  • Working together with the team and business partners to develop data products using an agile approach.
  • Creating products that allow us to address mission critical business challenges (development of data pipelines, topics in the area of product, reporting & analytics).
  • Breaking new ground: You regularly optimize solutions to improve performance, quality and costs.
  • 3+ years of experience (BI Engineer / Data Engineer) with a focus on developing cloud-based architectures and products (preferably using the Microsoft Azure/Azure Data Factory).
  • You are experienced in working with Snowflake (preferably), Exasol, or other relational DWH.
  • Proven knowledge of Python and SQL in multiple positions/projects.
  • Excellent communication skills.
  • You are a proactive person.
  • Have experience working with Kafka and Databricks.
  • IaaC: You use Terraform to describe and maintain the infrastructure required for your solutions.
  • IT-Security is fundamental in your design decisions.
  • Machine learning and Model Lifecycle Management is a plus (e.g., TensorFlow, PyTorch, Scikit-learn).
  • You have very good analytical and project management skills.
  • You can easily „translate“ your results into self-explaining presentations for your business partners.
Higher Education:
  • A degree in the fields of (business) mathematics, computer science, economics or similar.



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