Data Engineer / Architect - Equities (Greenfield + AI)

Overview
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 EquitiesInnovation-first: Use of LLMs and AI, cloud, and modern tooling to push boundaries.Growth and visibility: High-impact role with global reach and career growthYour background
Strong Python or Java skills with Big Data (Spark, Hadoop) and AWS.Data ArchitectureExperience building data lakesInvestment banking ideally within Equities but would look at other asset classesExperience building scalable data platforms; familiar with APIs, pipelines, and analytics.Forward-thinking and comfortable leading PoCsFor more info and to apply please submit your CV highlighting your relevant experience to the points mentioned above.
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