At a Glance
- Tasks: Design and build low latency data pipelines for commodities trading.
- Company: Join Balyasny, a leading firm in commodities technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with traders and researchers in a fast-paced, innovative team.
- Why this job: Make a direct impact on trading performance with cutting-edge data systems.
- Qualifications: 5+ years in data engineering with expertise in Python and SQL.
The predicted salary is between 75600 - 92400 £ 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 London employer: Balyasny Asset Management
Balyasny Asset Management (BAM) is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that prioritises employee engagement and professional growth. With a commitment to attracting top talent, BAM provides its associates with the tools and opportunities necessary to excel in their careers, fostering an environment where innovation and collaboration thrive. Employees benefit from a global team structure, exposure to diverse equity strategies, and the chance to contribute to meaningful projects that drive operational excellence.
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We think you need these skills to ace Senior Engineer, Commodities Technology in London
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