At a Glance
- Tasks: Build and maintain data pipelines for maritime datasets to support trading decisions.
- Company: Join a leading geospatial data science team in commodities trading.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to cutting-edge geospatial technologies.
- Why this job: Make an impact by transforming raw data into actionable insights for trading.
- Qualifications: 3+ years of Python experience and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
About the Role We are seeking a Data Engineer to join our Geospatial Data Science team supporting commodities trading.
In this role, you will build and maintain the data pipelines and geospatial infrastructure that will, for example, turn raw vessel-movement data (AIS), port activity, and cargo flows into actionable trading signals across energy, agricultural, and metals markets.
You will work at the intersection of large-scale geospatial engineering and front-office trading, collaborating closely with portfolio managers, quantitative researchers, and fellow data scientists to deliver clean, reliable, and timely maritime datasets that directly inform investment decisions.
- What You’ll Do
- Design, build, and maintain robust ETL/ELT pipelines ingesting AIS and other maritime datasets (port calls, drafts, cargo, vessel metadata) at scale.
Develop and optimize geospatial data models in Post GIS to support vessel tracking, route inference, port congestion, and storage/flow estimation.
- Write performant, well-tested Python and SQL to transform raw feeds into research- and trading-ready datasets.
- Engineer features and metrics (e. g., tonne-miles, floating storage, port dwell times, voyage estimates) in partnership with researchers and PMs.
- Ensure data quality, lineage, monitoring, and reliability across all maritime data products.
- Collaborate with the commodities desk to translate trading questions into data solutions.
- Must-Haves
- 3+ years of commercial Python 3 experience - strong, production-quality coding skills (not just scripting).
- Post GIS- proficiency with spatial queries, indexing, and geospatial data modeling.
- AIS datasets- hands-on familiarity with vessel-tracking data, its structure, quirks, and limitations.
- SQL- strong proficiency, including query optimization on large datasets.
- Nice-to-Haves
- Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines.
- AWS experience (Azure or GCP equally welcome).
- Machine Learning experience, particularly applied to geospatial or time-series problems.
- Commodity trading exposure or understanding of how maritime data drives commodity markets.
- Containerization- Docker / Kubernetes for reproducible, deployable pipelines.
- Geo Pandas- for geospatial data manipulation and analysis in Python.
- Domain knowledge of shipping- vessel classes, charter markets, freight rates, and IMO regulations.
- #J-18808-Ljbffr
Geospatial Data Engineer (AIS) in City of Westminster employer: Balyasny Asset Management LP
As a Senior Emerging Markets Risk Manager, you will join a dynamic and collaborative team that values innovation and expertise in risk management. Our firm offers a supportive work culture that prioritises professional growth, providing ample opportunities for development through mentorship and training. Located in a vibrant financial hub, we empower our employees to make impactful contributions while enjoying a competitive benefits package and a commitment to work-life balance.
Contact Details:
Balyasny Asset Management LP Recruitment Team
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