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Data Engineer – Financial Environment (f/m/x)

Summary

Build and optimize data pipelines using Databricks, Python, Kafka, and Azure Event Hub; implement real-time processing with Apache Druid and Storm for a financial-sector client.

Our client from the financial sector is an established company and is looking for an experienced Data Engineer to provide external support in a demanding project environment.

Industry: Banking and Financial Services

Location: Remote /Occasional travel to Budapest, Vienna, or Linz

Capacity: 100 %

Duration: 01.09.2026 - 31.12.2026 with possibility of extension

Language: English, German nice to have

Your responsibilities:
  • Development, optimization, and migration of data pipelines
  • Design and implementation of solutions based on Databricks and Python
  • Working with streaming technologies such as Azure Event Hub and Kafka
  • Implementation and support of real-time data processing using Apache Druid and Apache Storm
  • Analysis and evaluation of existing solutions within migration projects
  • Collaboration in an agile Scrum environment
Your profile:
  • Extensive experience as a Data Engineer with a focus on Databricks and Python
  • Hands-on experience with streaming technologies (Azure Event Hub, Kafka) as well as real-time technologies (Apache Druid, Apache Storm)
  • Experience in the development and migration of data pipelines
  • Very good knowledge of cloud-based data platforms, ideally Microsoft Azure
  • Very good English skills
  • German skills are an advantage
General conditions:
  • Predominantly remote with up to 80 % home office
  • Occasional travel to Budapest, Vienna, or Linz (approximately every two / three weeks, depending on project needs) for coordination meetings with the distributed team.


Verdiene 1000 € für eine erfolgreiche Empfehlung
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