Job Overview

Job Type

Full-Time

Pay

Not disclosed

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Job description

Location:: Karlsruhe, BW, Germany
Work arrangement:: On-site

Role Summary

The group includes

Finanz.net – one of the leading financial information portals in the DACH region
finanzen.net ZERO – a neobroker for cost-effective securities trading
TraderFox – a provider of financial information and trading tools for semi-professional investors and those who want to become one

Our vision is

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

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

As part of the takeover, the previously independently managed business units will be strategically merged. This realignment and the group's strong innovative strength create new growth opportunities to further expand the market position as a leading investment platform.

In order to successfully implement the growth strategy and the value enhancement program, we are looking for committed talents who would like to actively shape this change.

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

Do you think about data engineering holistically – from infrastructure to pipelines to platform architecture? Do you not only want to operate existing systems, but also 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.

Responsibilities

Cloud & Infrastructure: You build our AWS infrastructure using Terraform (IaC) and continuously develop it.
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 to data modeling to best practices.
Pipelines & Transformation: You develop and operate scalable ELT/ETL pipelines with Airbyte and dbt.
Collaboration: You work closely with senior data analysts (common stack, separate workstreams) as well as with engineering, product and, if necessary, compliance.

Requirements

Data Engineering Expertise: You have 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 essential experience with Terraform.
Data Processing: In-depth experience with Databricks and Apache Spark.
Data Stack: Safe handling of dbt and Airbyte.
Programming: Very good knowledge of Python and/or SQL.
Way of working: You work in a structured, independent manner and with a strong engineering focus.
Languages: You speak German and English fluently.

Nice to have

Experience with Apache Airflow or similar orchestration tools
Knowledge of Data Vault or Medallion Architecture
Experience with cloud data warehouses (e.g. Redshift)
Experience with financial data (e.g. broker or customer data)

Benefits

With us you will find a modern working environment with over 250 colleagues that is characterized by trust, flexibility and real collaboration. You work hybrid and use our office hubs in Karlsruhe, Munich or Berlin - supplemented by up to 15 days of work within the EU per calendar year.
We actively promote your personal and professional development through training, seminars and conferences in the dynamic FinTech and stock/financial environment. We attach great importance to open cooperation, team spirit and shared success.