Data Engineer (m/f/d)

Make your next career step at a bank where you can successfully shape your future and the future of the cooperative banks. The DZ BANK is the second largest commercial bank in Germany, the leading bank of the Volksbanken Raiffeisenbanken, the central bank for around 800 German cooperative banks and has the holding function for the companies of the DZ BANK Group. We are a powerful employer that offers you new exciting challenges. The digital thinking and self-initiative estimates. It calls for and promotes. The innovation advances and believes in constant change. And who thinks and works particularly in partnership - because we shape success together, like you. This is expected

As an integral part of our top team, you drive forward the strategic development and scaling of our internal platform and take over the following tasks:

• They develop scalable data pipelines and infrastructures in SQL and Python (BigQuery) to efficiently provide large amounts of data.
• They automate infrastructure and deployments using infrastructure as code solutions.
• They build CI/CD pipelines for infrastructure and applications and operate them.
• You are responsible for the end-to-end development of new features in our web application - from conception to implementation (TypeScript, Angular, TailwindCSS, Python, SQL).
• They identify and develop innovative use cases to create measurable added value.
• As a driving force in the Profit Center in Capital Markets, you are driving forward data-driven decisions and contributing directly to business success.

This will bring you

• Excellent degree in economics, computer science, physics, mathematics, engineering or a comparable discipline
• Multiannual relevant professional experience and proven expertise as Fullstack Developer, Software Engineer or Data Scientist
• Very good knowledge of modern DevOps processes, especially in technical provision, automation and infrastructure as code (Kubernetes, Helm, GitLab)
• Funded knowledge of Python and ideally common libraries (pandas, polars, scikit-learn) as well as SQL and data structuring/analysis, including data modeling and visualization
• Experience with a cloud platform (GCP, Azure)
• A very fast understanding and a high level of learning
• The motivation to actively introduce new ideas and convincing solutions
• German and English in word and writing

  Joblocations:

60325 Frankfurt am Main, HESSEN, GERMANY