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Quantlane

Data Engineer

Prague
Python Airflow Docker PostgreSQL Git Metabase Streamlit RabbitMQ Kubernetes AWS S3 EC2 ClickHouse Apache Iceberg DuckDB Trino Pandas asyncio SQL TimescaleDB
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Description

Data engineer (Python)

Team: Development Team

Location: Prague

Commitment: Full-time

Workplace Type: hybrid

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! 🚀

What your day-to-day will look like:

  • 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

What we offer:

  • 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

A bit about you:

  • 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)

Ideally, you also:

  • 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

Quantlane
Quantlane

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