Geospatial Data Engineer

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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How this pay compares to similar roles

Similar $162k
$116k most similar roles pay here $207k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 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 · Geospatial Data Engineer

The Geospatial Data Engineer (AIS) joins the Geospatial Data Science team to support commodities trading by building and maintaining critical data pipelines and geospatial infrastructure. This role involves transforming raw vessel-movement data, port activity, and cargo flows into actionable trading signals for energy, agricultural, and metals markets. You will design robust ETL/ELT pipelines, develop PostGIS models for route inference and port congestion, and engineer features like tonne-miles and voyage estimates in collaboration with portfolio managers and researchers. The role requires expert proficiency in Python 3, SQL, and PostGIS, along with hands-on experience with AIS datasets. Additional technical skills include Apache Airflow, AWS, Docker, Kubernetes, and GeoPandas. You will solve complex problems regarding maritime data reliability to provide high-quality information that directly informs investment decisions across various global commodity markets.

What you'll do

  • Design, build, and maintain robust ETL/ELT pipelines for AIS and maritime datasets at scale.
  • Develop and optimize geospatial data models in PostGIS to support vessel tracking and route inference.
  • Write performant Python and SQL code to transform raw feeds into trading-ready datasets.
  • Engineer specific features and metrics like tonne-miles and port dwell times for portfolio managers.
  • Ensure data quality, lineage, monitoring, and reliability across all maritime data products.
  • Translate complex trading questions from the commodities desk into technical data solutions.

What we're looking for

  • 3+ years of commercial Python 3 experience with production-quality coding skills.
  • Proficiency in PostGIS for spatial queries, indexing, and geospatial data modeling.
  • Hands-on familiarity with AIS datasets and vessel-tracking data structures.
  • Strong proficiency in SQL, including query optimization on large datasets.
  • Experience with Apache Airflow or equivalent orchestration tools (preferred).
  • Experience with AWS, Azure, or GCP cloud platforms (preferred).
  • Machine Learning experience applied to geospatial or time-series problems (preferred).
  • Knowledge of commodity trading, shipping domains, containerization, or GeoPandas (preferred).

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