Data Engineer - Credit Technology in City of Westminster

Data Engineer – Credit Technology

Balyasny Asset Management LP

London, United Kingdom

Permanent

2026-01-19T16:15:32.210Z

23689300

Full time

Competitive

Description Summary

The team is responsible for building, owning, and supporting a world-class data platform for our portfolio managers and their teams. We are building the suite of core components that will underpin the offering of this team for years to come. We are looking for an experienced and eager engineer to join our team in supporting this mandate.

Role Overview

• Design, build and grow a modern data platform and data-intensive applications, from ingestion through ETL, data quality, storage, and consumption/API\’s
• Work closely with quantitative engineers and researchers
• Collaborate in a global team environment to understand, engineer, and deliver on business requirements
• Strike a balance along the dimensions of feasibility, stability, scalability, and time-to-market when delivering solutions

Qualifications & Requirements

• 5+ years of work experience in a data engineering or similar data-intensive capacity
• Demonstrable expertise in SQL and relational databases
• Strong skills in Python and at least one data-manipulation library/framework (e.g., Pandas, Polars, Dask, Vaex, PySpark)
• Strong debugging skills at all levels of the application stack and proven problem-solving ability
• Strong knowledge of the data components used in distributed applications (e.g., Kafka, Redis, or other messaging/caching tools)
• Experience architecting and building data platforms / ETLs, ideally batch as well as streaming, data lake/warehouse/lakehouse patterns
• Experience with column-oriented data storage and serialization formats such as Parquet/Arrow
• Experience with code optimization and performance tuning
• Excellent communication skills

Additional experience in the following areas is a plus:

• Experience building application-level code e.g., REST APIs to expose business logic
• Prior usage of tooling such as Prometheus, Grafana, Sentry, etc. for distributed tracing and monitoring metrics
• Experience with distributed stateful stream processing (e.g., Kafka Streams, Flink, Arroyo)
• Work with financial instruments / software in areas such as research, risk management, portfolio management, reconciliation, order management, etc.
• Prior experience with ClickHouse, Snowflake, or KDB