At a Glance
- Tasks: Design and build low latency data pipelines for commodities trading.
- Company: Balyasny Asset Management, a leading asset management firm in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a collaborative team at the forefront of commodities technology.
- Why this job: Make a direct impact on trading performance with cutting-edge technology.
- Qualifications: 5+ years in data engineering with expertise in Python and SQL.
The predicted salary is between 80000 - 100000 £ per year.
This role sits in the commodities data team at Balyasny - at the intersection of the front office and central data services. The team is responsible for commodities specific data ingestion, modelling and distribution across a range of technologies and data frequencies. Data that is managed in the team is used directly by commodities trading teams; as such the role has a direct impact on trading and requires working with traders and researchers to ensure optimum performance of data systems at all times.
Experience
- 5+ years in data engineering including ownership of production data systems.
- Has built low latency or near real-time pipelines.
- Has run trade-critical systems on a formal on-call rota, including fixing live incidents under pressure.
- Has supported front-office or technical users directly (traders, PMs, quants or similar), resolving issues quickly and explaining them clearly.
- Has worked on long-running platform migration on containerised, cloud-native infrastructure.
- Has integrated and normalised a wide range of non-standard external data sources.
- Commodities or energy market exposure (power, gas, oil, shipping, agriculture) is a strong plus but not essential.
Skills
- Python (expert): Production services, custom data transformation, bespoke data pipelines
- SQL (expert): Complex modelling and performance-aware DML and DDL across Snowflake/Clickhouse
- Kubernetes and Docker
- Kafka
- Strong understanding of Git, code review, CI, TDD
- Apache Airflow - desirable, but not essential
Responsibilities
- Design, build and own bespoke low latency pipelines for our most demanding data sources.
- On-call rota, owning detection, triage and resolution of production data incidents.
- Be a subject matter expert for PMs and quants on data issues - fixing production issues quickly and communicating technical points clearly and reliably.
- Hold engineering standards across the team: review, testing, release.
Senior Engineer, Commodities Technology in City of Westminster employer: Balyasny Asset Management LP
Balyasny Asset Management is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, the company provides ample opportunities for professional development and encourages a culture of teamwork and open communication. The role of Senior Engineer in Commodities Technology not only allows you to make a significant impact on trading operations but also offers competitive benefits and a chance to work with cutting-edge technologies in a thriving financial hub.
Contact Details:
Balyasny Asset Management LP Recruitment Team
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