Data engineer (Python)

Prague,PragueFull-timemid

Data EngineeringData EngineerDataData & AI

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Quick Summary

Overview

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.

Technical Tools

airflowawsdockerkubernetesmetabasepandaspostgresqlpythonsqlagileetlstreaming-data

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! 🚀

Building Python applications that process data (pandas, asyncio)

Contributing to the design and improvement of the data platform

Developing backend applications in Python (asyncio, RabbitMQ)

Deploying those applications to production (Airflow, Kubernetes)

Talking to traders and analysts (your internal customers) about the features they need

Taking turns with the rest of the team on platform support

Snacks, 5 weeks of vacation, 5 sick days, and a Multisport card

Brand new, modern offices in Karlín

Hybrid setup — ideally 3 days on-site

Regular sessions with a company therapist / coach

English lessons with a native speaker

Internal training and contributions toward technical conference