Data Platform Engineer - Global Health Impact & Travel
Summary
Mid/senior Data Platform Engineer designing and maintaining batch and streaming data pipelines across raw, cleaned, and curated layers using Python, DBT, Dagster, and containerization in a Warsaw-based team.
Quantitative Engineering Design is seeking a mid/senior Data Platform Engineer (backend) to join our Warsaw team. You will design and maintain data pipelines, structure data across raw, cleaned, and curated layers, and choose optimal batch or streaming approaches based on latency and reliability.
You should have a strong software engineering background, experience with Python, DBT, Dagster, and containerization, and be comfortable collaborating in a multicultural, mission-driven environment.