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Bloomberg L.P. in London is seeking a Senior Software Engineer to advance the DataHub Experience & Control Plane. You’ll own the full stack—from UI to backend services and control-plane systems—enabling engineers to discover, access, provision, and govern data at scale.
The role spans data cataloging, schemas, lineage, permissions, and AI-enabled workflows, combining frontend and backend expertise to deliver reliable data experiences.
Senior Software Engineer - DataHub Experience & Control Plane
Location
London
Business Area
Engineering and CTO
Ref #
10051653
Bloomberg runs on data. Every product, model, chart, alert, workflow, and client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale.
What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe to changes, query data, and build data-driven applications.
We are looking for engineers who can imagine the future data experience - and then build the full stack required to make it real.
This is a senior full-stack engineering role at the intersection of product experience, distributed systems, developer platforms, data infrastructure, and AI-ready metadata.
You will help design and build the next generation of DataHub: the interfaces, backend services, and control-plane systems that allow Bloomberg engineers to move from intent to outcome — from finding the right dataset to understanding it, accessing it, provisioning infrastructure around it, querying it, publishing it, and operating it safely in production.
This is not only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath.
The next frontier is AI. For agents to be effective with data, they need more than raw tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans and AI agents to understand and work with Bloomberg’s data safely.
This is not about adding a chatbot to a portal. It is about designing a new human-and-agent experience for Bloomberg’s data universe.
This role is about more than building infrastructure. It is about shaping how engineers experience data.
The hard part is not only scaling systems. It is designing the right abstractions, workflows, and interfaces so that powerful data infrastructure becomes simple, trustworthy, and useful. That requires engineering depth, but also imagination, taste, and execution.
You do not need to arrive as an expert in every technology we use. Prior experience with semantic technologies, data catalogs, or knowledge graphs is helpful, but not required. What matters most is your ability to learn deeply, think clearly, design thoughtfully, and build across the stack.
DataHub is where Bloomberg’s data becomes discoverable, understandable, usable, programmable, and operational.
This team builds that experience.
Meet the DataHub Engineering Team:
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net