Quick summary

Work type
On-site
Location
Warsaw, Poland
Posted
3 days ago

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Salary context

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.

Employer

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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At a glance

TL;DR · Job Detail

The Data Engineering Manager position within BAM’s Webscraping team is a senior-level role requiring technical proficiency and creativity. This manager will lead a team of data engineers in building advanced collection systems for proprietary data used in investment strategies, focusing on AI/ML applications to enhance accuracy and efficiency. Key responsibilities include developing agentic applications, optimizing existing processes with AI/ML, collaborating with portfolio managers to translate business needs into technical solutions, and maintaining robust technology infrastructure. The ideal candidate has 7-10+ years of software development experience, strong Python (pandas) and SQL skills, and familiarity with data pipelines like Airflow and Kafka, as well as web technologies such as HTML/JS and APIs. Experience in containerizing workloads with Docker and cloud technologies like AWS is preferred. This role demands a deep understanding of data structures, algorithms, and statistical methods, alongside excellent communication and leadership skills to drive innovation within the firm’s competitive landscape.

What you'll do

  • Manage and lead a team of data engineers to optimize their impact.
  • Design and deploy advanced tools for collecting and standardizing unique datasets.
  • Identify areas where AI/ML can improve the accuracy and efficiency of processes.
  • Build and maintain robust technology infrastructure supporting data efforts.
  • Continuously evaluate and refine models and algorithms for optimal performance.

What we're looking for

  • Proven experience managing software or data engineering teams.
  • Strong proficiency in Python (including pandas) and SQL/Database skills.
  • Experience with agentic coding and data pipelines (Airflow, Kafka).
  • Expertise in web technologies (HTML/JS, APIs) and networking.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or related field.
  • Excellent verbal and written communication skills.
  • Strong understanding of data structures, algorithms, and statistical methods.

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