Job Detail

Balyasny Asset Management

Quick summary

Work type: On-site
Location: Warsaw, Poland
Posted: 3 days ago
Nearby: 14 roles within 25 mi

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How this pay compares to similar roles

Similar $176k

$132k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $141,383–$210,025.

Based on 240 similar postings.

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About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 47 open roles on FindRole.

Listed pay typically runs $175,000–$242,500 across 26 roles with salary data.

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Job Detail 47

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At a glance

TL;DR · Job Detail

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We are seeking a Senior Market Data Engineer to join our team in Warsaw. This role requires an experienced professional proficient in Python and cloud technologies to design and implement high-performance tick data pipelines for large-scale market data processing. The ideal candidate will work with timeseries databases like KDB and OneTick, optimize data storage using Parquet-based file systems, and optionally integrate Apache Iceberg for advanced data lake management. Responsibilities include collaborating with trading teams to define data requirements, ensuring data quality through robust validation mechanisms, and continuously improving system performance in high-frequency trading environments. The position demands a strong background in market data processing, experience with Kubernetes and containerization, and familiarity with financial markets and trading concepts.

Skills

Python AWS GCP Azure Kubernetes Parquet Apache Iceberg KDB OneTick CI/CD Terraform Docker

What you'll do

Design and develop high-performance tick data pipelines for large volumes of market data.
Work with timeseries databases to store, query, and manage tick data efficiently.
Utilize cloud technologies to optimize data processing and storage solutions.
Leverage Parquet-based file storage for efficient data retrieval in data lakes.
Ensure data quality by implementing robust validation and error handling mechanisms.

What we're looking for

8+ years of experience in software engineering with focus on market data.
Proficient in Python and familiar with cloud platforms like AWS, GCP, Azure.
Extensive experience designing and developing high-performance tick data pipelines.
Required experience with Parquet-based file storage; familiarity with Apache Iceberg preferred.
Strong analytical skills and ability to ensure data quality and integrity.
Experience working with timeseries databases (e.g., KDB, OneTick) and C++ beneficial.

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