You'll be involved in: o Designing and building data pipelines for complex fixed income instruments o Ingesting, normalising, validating, and exposing market and reference data o Working closely with domain experts to encode real-world fixed income logic o Handling time-series, temporal, and event-driven financial datasets o Indexing and querying large volumes of structured and unstructured data o Contributing domain knowledge across products such as:

Sovereign and sub-sovereign debt

Corporate bonds and credit instruments

Municipals and structured cashflows

This role suits someone who understands that bond data is fundamentally different from equities - and enjoys that challenge. Technical Environment The engineering culture is pragmatic, modern, and data-focused. You'll work with: o Backend systems written in functional or functional-leaning languages (e.g. Elixir, Scala, F#, Haskell, Clojure, or similar) o Relational databases and advanced SQL for complex financial datasets o Infrastructure designed for simplicity, reliability, and performance o Machine learning and LLM-adjacent workflows for document-heavy data Exact tools matter less than strong engineering fundamentals and curiosity.

This is a great opportunity to join a young, fast-growing business and to develop really innovative technology in an environment geared towards getting the best of out your engineering skills. You are free to work remotely, or visit their Edinburgh City Centre offices. Real flexibility over how, and where, you do your thing is a key pillar of their culture. If you have real hands-on experience with fixed income products and enjoy working close to the data, this is a genuinely rare opportunity., o Proven experience working with fixed income products and markets o Strong understanding of bonds, pricing, yields, curves, and cashflows o Experience building or maintaining data-heavy platforms o Confidence working with messy, real-world financial data o Ability to collaborate closely with analysts, product, and engineering peers This is not a generic data role. Domain expertise in fixed income is essential.