Python Engineer - Macro & Fixed Income Team

Selby Jennings; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Selby Jennings in London is seeking a Python Engineer to join a Macro & Fixed Income Data Technology team, building a modern data platform that supports investment decision-making. You will design scalable data pipelines and work closely with portfolio managers, researchers, economists, and tech teams.

Join a collaborative environment at the forefront of financial technology, delivering high-impact data infrastructure across global markets.

Qualifications

• Strong Python development experience in a backend engineering environment.
• Experience supporting trading, investment, market data, or research platforms.
• Expertise building data platforms, data lakes, warehouses, ETL pipelines, or large-scale data infrastructure.

Responsibilities

• Design and build core components of a next-generation macro and fixed income data platform.
• Develop scalable data pipelines covering ingestion, ETL, quality control, storage, and API consumption.
• Partner with portfolio managers, researchers, strategists, and technology teams to deliver business-critical solutions.
• Drive improvements in platform performance, stability, scalability, and reliability.
• Contribute to the evolution of cloud-native data architecture and engineering best practices.

Skills

Python

Distributed systems

Cloud platforms

Tools

Docker

Kubernetes

Spark

Delta Lake

Athena

Job description

Our client, a leading global multi-strategy hedge fund, is looking for a Python Engineer in London to join a growing Macro & Fixed Income Data Technology team. This team sits at the intersection of technology, quantitative research, portfolio management, and trading, building the next generation of data infrastructure used by investment professionals across global markets. You'll play a key role in designing and developing a modern data platform, working closely with portfolio managers, researchers, economists, and technology teams to deliver scalable, high-impact solutions that directly support investment decision-making.

Responsibilities

• Design and build core components of a next-generation macro and fixed income data platform
• Develop scalable data pipelines covering ingestion, ETL, quality control, storage, and API consumption
• Partner with portfolio managers, researchers, strategists, and technology teams to deliver business-critical solutions
• Drive improvements in platform performance, stability, scalability, and reliability
• Contribute to the evolution of cloud-native data architecture and engineering best practices

Requirements

• Strong Python development experience within a backend engineering environment
• Experience supporting trading, investment, market data, or research platforms
• Expertise building data platforms, data lakes, warehouses, ETL pipelines, or large-scale data infrastructure
• Knowledge of modern cloud and big data technologies such as Spark, Delta Lake, Athena, AWS Glue, or similar
• Experience with distributed systems, databases, Docker/Kubernetes, and performance optimisation

Why Join?

• Direct exposure to portfolio managers and investment teams
• Opportunity to build greenfield technology with visible business impact
• Work on complex macro and fixed income datasets at scale
• Collaborative environment combining engineering, research, and investing
• Join a high-performing team operating at the forefront of financial technology