Data Engineer

📋 Description

• Design and build Python APIs and backend services powering internal and third-party integrations
• Develop and operate end-to-end data pipelines from ingestion to persistence across GCP
• Build high-frequency, event-driven systems for real-time data processing
• Apply strong data modeling and database design for structured and semi-structured data
• Write clean, production-grade code with strong coverage and CI/CD
• Drive observability, performance, and reliability across backend and data systems

🎯 Requirements

• Strong experience in backend or data engineering
• Strong skills in Python and SQL
• Hands-on experience with cloud platforms (AWS or GCP) and data warehouse design (BigQuery or Snowflake)
• Solid CI/CD, testing, microservices, and end-to-end ownership
• Understanding of data modeling, schema design, and performance optimization
• Familiarity with orchestration tools (Airflow, Dagster) and observability practices

🎁 Benefits

• Equity for Berlin-based employees
• Profitability and growth
• Central Berlin Office with collaboration-ready space
• Transport subsidy, breakfasts and lunches
• Language learning opportunities
• Urban Sports Club and more