Lead Data Engineer

Stanford Black Limited; Greater London; On-site; GBP 110,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Stanford Black Limited in London is seeking a Lead Data Engineer to drive design and development of scalable data platforms and high‑performance pipelines across the trading infrastructure.

You will lead a hands‑on team, shape technical strategy from inception to production, and work with Python, AWS, Kubernetes, Airflow, Spark in a greenfield environment.

Qualifications

• 8+ years of Data/Software Engineering experience in an enterprise environment.
• Strong CS background from a top university.
• Experience managing or leading teams on projects through the full software development lifecycle.
• Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD.

Responsibilities

• Lead the design and development of scalable data platforms and high‑performance pipelines across the trading infrastructure.
• Mentor and lead teams through the full software development lifecycle.
• Drive technical strategy from inception to production in a greenfield environment.

Skills

Data engineering

Team leadership

Cloud & DevOps

Agile

Education

Bachelor's/Master's in CS/CE or equivalent

Tools

Python

AWS

Kubernetes

Airflow

Spark

Job description

A FinTech Powerhouse is looking for a Lead Data Engineer to join its flagship centralized technology group that sits across the firm's entire trading infrastructure.

They’re looking for a hands‑on Team Lead to drive the design and development of scalable data platforms and high-performance pipelines that power critical systems across the business, with your work having a direct and measurable impact on the wider trading ecosystem. Everything is completely greenfield using cutting‑edge technology (Python, AWS, Kubernetes, Airflow, Spark etc.) and requires someone who is going to be involved with the technical strategy as well, from inception to production.

Requirements:

• 8+ years of Data/Software Engineering experience in an enterprise environment.
• Strong Computer Science, Engineering (or a related subject) background from a top university.
• Experience managing or leading teams on projects through the full software development lifecycle.
• Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD.
• Market leading Compensation and Benefit packages.
• The opportunity to work for a top FinTech firm in an incredibly collaborative culture.