Senior Data Engineer
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Job Description
Senior Data Engineer building Finanzen.net’s data platform for investment information and trading services. Managing Databricks, Spark, dbt, Airbyte, and scalable ELT/ETL pipelines.
Responsibilities:
- Own and manage the Databricks environment
- Optimize Spark pipelines and workflows
- Further develop the data platform, from architecture and data modeling to best practices
- Develop and operate scalable ELT/ETL pipelines using Airbyte and dbt
- Collaborate closely with Senior Data Analysts as well as Engineering, Product, and, where applicable, Compliance teams
- Build and operate the data platform
- Actively contribute to the growth strategy and value enhancement program
Requirements:
- 5+ years of experience as a Data Engineer
- Experience with modern cloud data stacks
- Strong hands-on experience with Databricks and Apache Spark
- Proficiency in dbt and Airbyte
- Excellent knowledge of Python and/or SQL
- Structured, self-directed approach 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:
- Remote work options
- Hybrid work in modern office hubs in Karlsruhe, Munich, or Berlin
- Up to 15 days of workation 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
- Company bike program
- Public transportation allowance
- Attractive financial benefits and additional perks
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