We strive to be the best partner for our customers on their investment journey.

At the beginning of 2025, the Finanzen Group was acquired by Inflexion , a leading European private equity firm in the mid-cap segment. Inflexion supports ambitious management teams in developing and sustainably scaling high-growth companies.

As part of the acquisition, the previously independently managed business units are being strategically merged. This realignment, combined with the group's strong innovative capabilities, creates new growth opportunities to further expand its market position as a leading investment platform.

To successfully implement the growth strategy and value creation program, we are looking for dedicated talent who want to actively shape this transformation.

Flexibility meets team spirit: we are on-site in Karlsruhe at least 4 days a month. 

Job description

Do you take a holistic approach to data engineering – from infrastructure and pipelines to platform architecture? Do you want to do more than just operate existing systems, but actively build a modern data platform? Then you've come to the right place.

As a Senior Data Engineer, you will play a central role in building and operating our data platform on AWS and work closely with Data Analysts, Engineers and Product Teams.

Your tasks:

• Cloud & Infrastructure: You will build and continuously develop our AWS infrastructure using Terraform (IaC).
• Databricks & Spark: You are responsible for our Databricks environment and optimize Spark pipelines and workflows.
• Data Platform Design: You will further develop our Data Platform – from architecture and data modeling to best practices.
• Pipelines & Transformation: You develop and operate scalable ELT/ETL pipelines with Airbyte and dbt.
• Collaboration: You will work closely with Senior Data Analysts (shared stack, separate workstreams) as well as with Engineering, Product and, if applicable, Compliance.

Qualifications

• Data Engineering Expertise: You bring 5+ years of experience as a Data Engineer and have already worked with modern cloud data stacks.
• Cloud & IaC: Very good knowledge of AWS (S3, Glue, Athena, EC2, EKS/ECS) and mandatory experience with Terraform.
• Data Processing: Solid experience with Databricks and Apache Spark.
• Data Stack: Safe handling of dbt and Airbyte.
• Programming: Very good knowledge of Python and/or SQL.
• Working style: You work in a structured, independent manner and with a strong engineering focus.
• Languages: You speak German and English fluently.