Senior Engineer, Commodities Technology

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
London, United Kingdom
Posted
78 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $162k
$128k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $139,100–$185,571.

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 59 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 30 roles with salary data.

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At a glance

TL;DR · Senior Engineer, Commodities Technology

As a Senior Engineer, Commodities Technology, you will join the team to build and operate data systems that transform vendor feeds, weather data, and satellite or vessel-tracking signals into actionable insights for investment teams. You will manage the full data lifecycle by ingesting diverse sources, defining schemas, loading analytical stores, and building controls to ensure data integrity before it reaches traders. Your daily work involves developing production pipelines, improving system reliability, and evolving AI-driven workflows. You will utilize Python, SQL, Java, or Kotlin, alongside tools like Snowflake, Redshift, ClickHouse, Kafka, and Kubernetes. The role focuses on solving complex problems in the commodities and energy markets, where you must optimize for latency, throughput, and memory usage while ensuring high observability across systems that directly inform trading decisions from megabyte-sized reference feeds to petabyte-scale alternative data.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Integrate diverse external data feeds ranging from megabyte to petabyte scales into internal systems.
  • Define schemas and data models to ensure vendor data is consistent for downstream consumers.
  • Build and operate production data pipelines and platform services using Python, SQL, and Java/Kotlin.
  • Develop validation, reconciliation, and monitoring tools to identify incorrect or missing data.
  • Optimize system performance regarding latency, throughput, memory usage, and query execution.
  • Investigate and resolve production issues reported by traders, portfolio managers, and researchers.
  • Improve the reliability and observability of existing services and infrastructure.
  • Develop and evolve AI-driven workflows for commodity investment analysis.

What we're looking for

  • At least 5 years of experience in data engineering, including ownership of data platforms, lakehouses, distributed systems, or backend services.
  • Proficiency in Python and SQL for data processing and system development.
  • Production experience with Java, Kotlin, or another systems language.
  • Experience with analytical databases such as Snowflake, Redshift, or ClickHouse.
  • Experience with Kafka or other streaming and near-real-time data platforms.
  • Experience with Kubernetes, CI/CD, monitoring, logging, and alerting.
  • Ability to diagnose technical problems and communicate clearly with both engineers and investment professionals.
  • Exposure to commodities or energy markets is a preferred qualification.

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