Point your AI agent at freehire and let it find you a job.

Get the CLI →

Stanford Black Limited

Lead Data Engineer

Posted Updated 3 views
Discussion

Summary

Lead a hands-on data engineering team building greenfield data platforms and high-performance pipelines for a fintech firm's centralized trading infrastructure group, from technical strategy through to production. Core stack: Python, AWS, Kubernetes, Airflow, and Spark.

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.

Skills

What Lead Data Engineering jobs ask for — and how much of it you have →
Apply

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available