Lead Python Engineer Director Equities

Huxley; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A global investment bank is seeking a Lead Python Engineer to build a new Equity Data Platform. In this key role, you will architect and deliver a scalable Python-based data ecosystem supporting trading and risk. Ideal candidates should have substantial experience in developing large-scale data platforms, alongside strong proficiency in modern engineering practices. This is a unique opportunity to shape engineering culture and lead an emerging team in a hybrid work environment.

Qualifications

• Strong experience building large-scale Python data platforms.
• Proven background in high-performance, mission-critical environments.
• Knowledge of distributed systems and cloud-native architectures.

Responsibilities

• Build and architect a greenfield Equity Data Platform.
• Design and implement Python-based data services and pipelines.
• Define data models and ingestion strategies.

Skills

Python development

Data engineering

Cloud platforms (Azure, AWS, GCP)

ETL/ELT processes

Data modeling

Microservices

Tools

Apache Spark

Kafka

Delta Lake

Job description

Lead Python Engineer - Greenfield Equity Data Platform - Director

Location: London (Hybrid)
Type: Permanent

Overview

A leading global Investment Bank is embarking on a major greenfield build‑out of an Equity Data Platform as part of a multi‑year strategic data transformation programme for the Equities business. This is a rare opportunity to take a foundational engineering role, shaping the platform architecture, technology choices, and long‑term roadmap from day one.

You will be at the centre of a high‑impact initiative to design and deliver a scalable, cloud‑ready data platform supporting Equities trading, research, analytics, and risk. As the platform grows, you will also have the opportunity to build and lead a team from the ground up, helping to define engineering culture, processes, and best practices.

The Role

This is a hands‑on senior engineering position focused on delivering a modern Python‑based data ecosystem for the bank's Equity business lines. You'll collaborate with trading, quant, and data strategy teams to build high‑performance data pipelines, ingestion frameworks, transformation layers, APIs, and services.

Key Responsibilities

• Build and architect a greenfield Equity Data Platform supporting trading, analytics, and regulatory workflows.
• Design and implement Python‑based data services, frameworks, and pipelines across structured and unstructured datasets.
• Establish modern engineering practices across testing, automation, CI/CD, observability, and deployment.
• Define data models, ingestion strategies, patterns, and storage architectures.
• Drive adoption of scalable cloud‑ready solutions aligned with the bank's overall data strategy.
• Collaborate with quants, trading desks, data engineers, and platform teams to deliver performant, reliable systems.
• Take a leadership role in growing and mentoring a new engineering team as the platform matures.
• Influence long‑term architectural decisions and technology choices across the data estate.

Key Skills & Experience

Essential

• Strong experience building large‑scale Python data platforms, pipelines, or backend services.
• Proven background in high‑performance, mission‑critical environments (ideally Equities, trading, or financial data).
• Experience with modern data engineering tooling (streaming, orchestration, storage, APIs).
• Strong understanding of data modelling, ETL/ELT pipelines, and data lifecycle management.
• Knowledge of distributed systems, microservices, or cloud‑native architectures.
• Experience implementing testing, CI/CD, and automation in modern engineering setups.
• Excellent communication skills with the ability to work closely with Front Office and quant stakeholders.

Desirable

• Experience in Equities or Equity Derivatives data sources, analytics, or trading workflows.
• Exposure to cloud platforms (Azure, AWS, or GCP).
• Experience hiring, mentoring, or leading small engineering teams.
• Familiarity with Apache Spark, Kafka, Delta Lake, or similar data technologies.

Apply Now to avoid disappointment!

To find out more about Huxley, please visit www.huxley.com