Senior data engineer building AI-powered platforms for quantitative research and analytics.
Design and build scalable data pipelines and integration frameworks supporting AI applications, analytics, and business systems in a complex financial services environment. You'll implement modern AI approaches using agentic workflows, work with relational and vector databases, and collaborate with stakeholders to translate business needs into production systems. The role requires 10+ years of software development with at least 5 years in data engineering, strong Python expertise, and hands-on experience deploying AI/LLM applications. Financial services domain knowledge is valued but not required.
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Found at a specialist agency · listed 22 October 2026 · InsideJobs links you to the original posting.