Engineer, Macro and Fixed Income Data Technology

Engineer, Macro and Fixed Income Data Technology

Balyasny Asset Management LP

Location: London, United Kingdom

Type: Permanent

Application Deadline: 2026-08-13

Job ID: 24663112

Employment Type: Full time

Compensation: Competitive

Description Summary

The Macro Data team is responsible for building 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 developer to join our team in supporting this mandate.

Role Overview

• Design and build the next generation data platform for Macro, from ingestion through ETL, data quality, storage, catalog and consumption/API's
• Work closely with data stakeholders across the firm including portfolio managers, analysts, strategists, economists, quantitative research and technology
• 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

• 3+ years of work experience as a backend developer with demonstrable expertise in Python or another object-oriented language
• Experience supporting a macro trading business and relevant products and systems (risk management, pricing, etc.)
• Experience designing and building data platforms including batch and streaming ETL, data lake, warehouse, lakehouse patterns, query optimization
• Experience with column-oriented data storage formats such as Parquet and solutions such as AWS Glue, Delta Lake, AWS Athena, Spark, etc.
• Strong knowledge of distributed systems application components (databases, messaging, caches), ideally in a cloud-centric environment
• Experience with code optimization and performance tuning, source control (Git preferred), Docker/Kubernetes
• Excellent communication skills

Additional Experience (Plus)

• Experience working with financial market data from Bloomberg, Reuters or other similar sources
• Experience with hedge fund industry or other financial instruments/software (research, risk management, portfolio accounting, reconciliation, order management, etc.)

#s1-Gen

Description Summary The Macro Data team is responsible for building 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 developer to join our team in supporting this mandate. Role Overview:

• Design and build the next generation data platform for Macro, from ingestion through ETL, data quality, storage, catalog and consumption/API's Work closely with data stakeholders across the firm including portfolio managers, analysts, strategists, economists, quantitative research and technology 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: 3+ years of work experience as a backend developer
with demonstratable expertise in Python or another object-oriented language
• Experience supporting a macro trading business and relevant products and systems (risk management, pricing, etc.) Experience designing and building data platforms including batch and streaming ETL, data lake, warehouse, lakehouse patterns, query optimization Experience with column-oriented data storage formats such as Parquet and solutions such as AWS Glue, Delta Lake, AWS Athena, Spark, etc. Strong knowledge of distributed systems application components (databases, messaging, caches), ideally in a cloud centric environment Experience with code optimization and performance tuning, source control (Git preferred), Docker/Kubernetes Excellent communication skills Additional experience in the following areas is a plus: Experience working with financial market data from Bloomberg, Reuters or other similar sources Experience with hedge fund industry or other financial instruments/software
(research, risk management, portfolio accounting, reconciliation, order management, etc.)