Senior Data Engineer

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

📋 Description

• Take ownership of the Databricks environment and manage its operations.

• Enhance Spark pipelines and workflows for optimal performance.

• Advance the data platform, focusing on architecture, data modeling, and best practices.

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

• Construct and oversee the data platform's functionality.

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

⛳️ Requirements

• Over 5 years of experience as a Data Engineer.

• Familiarity with contemporary cloud data stacks.

• Extensive experience with Databricks and Apache Spark.

• Proficient in dbt and Airbyte.

• Strong knowledge of Python and/or SQL.

• A systematic, self-motivated approach with a significant focus on engineering.

• 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 (e.g., Redshift).

• Nice to have: Experience in handling financial data (e.g., broker or customer data).

🏝️ Benefits

• Options for remote work.

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

• Opportunities for training sessions, seminars, and conferences.

• Access to modern office hubs and hybrid working arrangements.

• Professional development opportunities in the financial markets and investing areas.

• Regular team events and a robust company culture.

• Health and mobility benefits, including a company bike program and public transport subsidies.

• Competitive financial benefits along with additional perks.