Data engineer (Python)

Our stack: Python 3 (asyncio), Airflow, Docker, PostgreSQL/TimescaleDB, GitLab, Metabase, Streamlit, RabbitMQ, Kubernetes, AWS (S3, EC2) and we're also playing around with ClickHouse, Apache Iceberg, DuckDB, and Trino. We're Quantlane, a proprietary trading firm built for traders. Our goal is to create a best-in-class ecosystem that helps traders unlock their full potential. A key part of that is our data platform — providing all kinds of data that traders (and their algos) rely on to make trading decisions 👨‍💻 How we work Our development team has 16 people. We work in an agile environment, develop iteratively, and take testing seriously. We have dedicated communities focused on different domains — Data, DevOps, Execution Platform, On-call/Support, and Trading Tooling, among others. 📊 Who we're looking for This role is for our Data team, which currently has five Data Engineers and one Data Scientist. We tackle interesting data challenges here — our goal is to make sure data is in the right quality, format, and place at the right time. 🔥 Want to help build a data platform that has a real impact on our traders' success? Come join us! 🚀