{"@context":"https://schema.org/","@type":"JobPosting","title":"Lead Python Engineer - Director - Equities

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., * 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.

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.

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.