Senior Data Engineer
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Job Description
Senior Data Engineer building and operating Finanzen.net’s Databricks data platform. Developing Spark, Airbyte, dbt, and scalable ELT/ETL pipelines across German office hubs.
Responsibilities:
- Take central responsibility for building and operating the data platform
- Own and optimize the Databricks environment, Spark pipelines, and workflows
- Develop the data platform across architecture, data modeling, and best practices
- Develop and operate scalable ELT/ETL pipelines using Airbyte and dbt
- Collaborate with Senior Data Analysts on a shared stack and separate workstreams
- Work with Engineering, Product, and potentially Compliance teams
Requirements:
- 5+ years of experience as a Data Engineer
- Experience with modern cloud data stacks
- Strong experience with Databricks and Apache Spark
- Proficiency with dbt and Airbyte
- Very good knowledge of Python and/or SQL
- Structured, independent working style with a strong engineering focus
- Fluent in German and English
- Nice to have: experience with Apache Airflow or similar orchestration tools
- Nice to have: knowledge of Data Vault or Medallion Architecture
- Nice to have: experience with cloud data warehouses such as Redshift
- Nice to have: experience with financial data, such as broker or customer data
Benefits:
- Employees can work remotely
- Hybrid work with modern office hubs in Karlsruhe, Munich, or Berlin
- Up to 15 workation days within the EU per calendar year
- Training, seminars, and conferences for personal and professional development
- Regular team events and a strong company culture
- Health and mobility benefits, including JobRad and a public transport subsidy
- Attractive financial benefits and other extras
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