Senior Data Engineer

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

📋 Description

• Assume primary responsibility for the construction and management of the data platform.

• Manage and enhance the Databricks environment, Spark pipelines, and associated workflows.

• Advance the data platform in terms of architecture, data modeling, and best practices.

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

• Collaborate with Senior Data Analysts on a unified tech stack while managing distinct workstreams.

• Engage with Engineering, Product, and potentially Compliance teams.

⛳️ Requirements

• Over 5 years of experience working 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.

• Organized and independent work style with a strong focus on engineering principles.

• Fluent in both German and English.

• Preferred: Experience with Apache Airflow or similar orchestration tools.

• Preferred: Understanding of Data Vault or Medallion Architecture.

• Preferred: Experience with cloud data warehouses like Redshift.

• Preferred: Familiarity with financial data, such as broker or customer information.

🏝️ Benefits

• Employees have the option to work remotely.

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

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

• Opportunities for training, seminars, and conferences aimed at personal and professional growth.

• Regular team-building events and a vibrant company culture.

• Health and mobility perks, including JobRad and a public transport subsidy.

• Attractive financial benefits along with additional perks.