Lead Python Engineer - Director - Equities

Position: Lead Python Engineer - Director - Equities (Permanent)
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, governance 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

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ
, United Kingdom | Partnership Number | OC(phone number removed) England and Wales