This is a fully remote position, open to applicants in Germany.

📋 Description

• Take ownership of the Databricks environment.

• Enhance Spark pipelines and workflows for optimal performance.

• Continue to develop the data platform, encompassing architecture, data modeling, and best practices.

• Design and manage scalable ELT/ETL pipelines utilizing Airbyte and dbt.

• Collaborate closely with Senior Data Analysts, as well as Engineering, Product, and, where necessary, Compliance teams.

• Construct and maintain the data platform.

• Actively participate in the growth strategy and initiatives aimed at enhancing value.

⛳️ Requirements

• Over 5 years of experience in a Data Engineering role.

• Familiarity with contemporary cloud data stacks.

• Extensive hands-on experience with Databricks and Apache Spark.

• Proficient in dbt and Airbyte.

• Strong command of Python and/or SQL.

• Organized, self-motivated approach with a solid engineering emphasis.

• Fluent in both German and English.

• Nice to have: Experience with Apache Airflow or similar orchestration tools.

• Nice to have: Understanding of Data Vault or Medallion Architecture.

• Nice to have: Experience with cloud data warehouses, such as Redshift.

• Nice to have: Experience with financial data, including broker or customer data.

🏝️ Benefits

• Options for remote work.

• Hybrid work arrangements in modern office locations in Karlsruhe, Munich, or Berlin.

• Up to 15 days of workation within the EU each calendar year.

• Training, seminars, and conferences for both personal and professional growth.

• Regular team events and a strong company culture.

• Health and mobility benefits.

• Company bike program.

• Public transportation allowance.

• Attractive financial benefits and additional perks.