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# Full-Stack Data Platform Engineer

- **Company:** Reflow
- **Location:** Berlin, Germany
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, BigQuery, Cloud Computing Security, Cloud Database, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Python (Programming Language), Performance Tuning, Power BI, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Data Ingestion, Snowflake, Amazon Redshift
- **Published:** October 22, 2026
- **Apply:** https://www.adzuna.de/details/5936925675

## About the Role

* 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.

Bonus points

 * Experience with Python for analytics and data wrangling.
 * Familiarity with AI/ML-driven analytics or predictive modeling.
 * Exposure to real-time or streaming data architectures.
 * Understanding of data governance, compliance, and secure cloud operations.

## Description

We're building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence - powering analytics, workflow insights, and economic modeling., * 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.