Data Engineer / Architect - Equities (Greenfield + AI)

Vertus Partners; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

An international investment bank is seeking a Data Engineer to work on a greenfield data strategy program and build a new AI-driven data analytics platform. You will collaborate with trading, risk, and analytics teams to deliver innovative, scalable solutions using modern cloud technology. The ideal candidate has strong Python or Java skills, experience in investment banking, and a proven track record in building scalable data platforms. This is a hands-on role with significant growth opportunities.

Qualifications

• Experience in investment banking ideally within Equities or other asset classes.
• Experience building scalable data platforms.
• Familiar with APIs, pipelines, and analytics.

Responsibilities

• Work on a greenfield data strategy program and build a new AI driven data analytics platform.
• Deliver scalable, real-time data solutions.
• Shape architecture and define best practices from scratch.

Skills

Strong Python skills

Big Data (Spark, Hadoop)

AWS

Job description

Contact email:

[e-mail]

Job ref:

We are currently recruiting for a data engineer to join the Equities trading business at an international investment bank.

The role will be to work on a greenfield data strategy program and build a new AI driven data analytics platform.

You'll work across trading, risk, and analytics teams to deliver scalable, real-time data solutions, using modern cloud tech, big data tools, and LLMs to drive innovation. This is a hands-on, high-ownership role with a clear path to influence strategy and grow with the platform.

Why this role?

• Greenfield build: Shape architecture and define best practices from scratch.
• Front-office impact: Deliver to trading desks across Equities
• Innovation-first: Use of LLMs and AI, cloud, and modern tooling to push boundaries.
• Growth & visibility: High-impact role with global reach and career growth

Your background:

• Strong Python or Java skills with Big Data (Spark, Hadoop) and AWS.
• Investment banking ideally within Equities but would look at other asset classes
• Experience building scalable data platforms; familiar with APIs, pipelines, and analytics.
• Forward-thinking and comfortable leading PoCs

For more info and to apply please submit your CV highlighting your relevant experience to the points mentioned above.

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