For Data Engineers working in commodities who are keen to build high-performance data systems at a global Tier-1 systematic market maker.
Hyphen is working with a global Tier-1 quantitative trading firm looking to hire a Data Engineer to build production-grade data systems to ingest complex, external commodity datasets.
The Opportunity:
- Designing ingestion frameworks for alternative and market-adjacent commodities data (weather, freight, satellite, regulatory, demand, surveys, etc.)
- Building fast-turnaround research pipelines so new datasets can be evaluated in days, not months
- Architecting storage models that allow rapid hypothesis testing without breaking production integrity
- Working shoulder-to-shoulder with traders to reduce data friction in signal discovery
- Balancing speed vs. robustness — knowing when to prototype and when to productionise
- Leveraging modern AI tooling to accelerate both development and data enrichment
What our ideal candidate possesses:
- Experience engineering commodities market data ingestion pipelines (for energy, metals, freight, weather, satellite, demand, physical flows, etc.) using Python and SQL.
- Demonstrable system design capability
- Strong familiarity with data tools such as Airflow, Spark, distributed compute, or similar modern data stacks
If you fit the requirements and you're keen to join a Tier-1 commodities market maker on their mission to better quality data, apply now or email me directly at [Confidential Information] with your CV.
