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Full-Stack Data Platform Engineer
Location
Germany
Posted
126 days ago
Salary
0
Seniority
Senior
Job Description
Full-Stack Data Platform Engineer
Reflow
• Design, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar). • Develop and optimize ETL pipelines to ingest data from APIs and internal systems. • Model and manage datasets to support flexible analytics and product features. • Collaborate with engineering team to improve data mining and analytics performance. • Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights. • Ensure data reliability, cost efficiency, and performance optimization across environments. • Implement event-based pipelines for real-time analytics and reporting. • Contribute to data governance, privacy, and security best practices.
Job Requirements
- Experienced in data warehouse architecture and scalable analytics infrastructure.
- Strong with SQL, data modeling, and pipeline performance optimization.
- Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations.
- Capable of balancing technical depth with real-world impact — you build systems people actually use.
- Comfortable navigating tradeoffs between cost, scalability, and complexity.
- Curious about how data translates into insights, decisions, and automation.
Benefits
- Competitive pay based on market rates and location
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