Data engineer (Python)

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

You have experience working with Data Lake, Lakehouse, and Streaming data concepts

You've built applications that process data — both historical and real-time

You know SW development best practices (Git, testing)

Have hands-on experience with Apache Iceberg, Trino/AWS Athena, or ClickHouse

Are comfortable with data libraries like pandas/polars

Know your way around ETL workflow tools like Apache Airflow

Have solid SQL skills, ideally PostgreSQL

Know Python asyncio

Have an interest in capital markets

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