Responsibilities
- You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers
- You lead the development of robust data pipelines using Fivetran, Airbyte, and Python – setting engineering standards for the team
- You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary
- You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions
- You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges
- You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC)
Requirements
- You have several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment
- You’re proficient in SQL, Python, dbt, and Git – and have a strong track record of building production-grade pipelines
- You bring experience with cloud platforms (AWS preferred) and tools like Databricks, Fivetran, or Airbyte
- You have a deep understanding of data modeling, data warehouse design, and data quality best practices
- You’re a strong communicator who can bridge the gap between engineering and business stakeholders
- You’re self-driven, take ownership end-to-end, and thrive in a remote, async-first environment
Benefits
- Flexible working hours and remote work options
- Attractive employee discounts
- Subsidy for the E-gym Wellpass
- Workation
- Corporate benefits
- 28 days vacation/year and much more
Additional Information
- Working Hours: Full Time (40h/Week)
- Start: Immediately
- Level: Mid - Senior
- Location: Germany, remote
