At a Glance
- Tasks: Build and maintain data pipelines for geospatial datasets in commodities trading.
- Company: Dynamic company at the forefront of geospatial data science.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to cutting-edge technologies and career advancement.
- Why this job: Join a team that transforms raw data into impactful trading insights.
- Qualifications: 3+ years of Python experience and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Location: London
Department: Data
Experience Level: Experience Professionals
Contact: Paul Krug
Job ID: REQ8345
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 PostGIS 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).
- PostGIS— 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.
- GeoPandas— for geospatial data manipulation and analysis in Python.
- Domain knowledge of shipping— vessel classes, charter markets, freight rates, and IMO regulations.
Geospatial Data Engineer (AIS) in London employer: Balyasny Asset Management
At BAM, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. Our hybrid working model allows you to engage closely with our Equity investment teams while enjoying the flexibility of remote work. We are committed to your professional growth, offering ample opportunities for skill enhancement and career advancement, all within a supportive environment that values innovation and operational excellence.
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We think you need these skills to ace Geospatial Data Engineer (AIS) in London
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