Location
London
Business Area
Engineering and CTO
Ref #
10049804
Description & Requirements Bloomberg is foremost a data company. Data is at the heart of everything we do; we collect it, cleanse it, enrich it, derive it, validate it, and make it available to our clients. This data is vast and varied and critical not only to our success but to that of our diverse global client base, and we continuously challenge ourselves to do this better and faster.
We are a team of software engineers who build and maintain data pipelines for Bloomberg's Macro business areas, including Economics, Energy Transition, Physical Assets & Geo, Commodities & Carbon, and Macroeconomic Analysis. Working in close partnership with Bloomberg's Data department, we ensure that critical data and metadata flows reliably from source systems into Bloomberg's products, spanning ingestion, transformation, standardisation, enrichment, and downstream integration.
Our engineers take ownership of their projects end-to-end, managing both technical delivery and stakeholder relationships. We also partner closely with infrastructure teams, contributing application-level insights that help guide platform improvements and influence infrastructure strategy. The breadth of domains we support gives you exposure to a broad and varied problem space.
We care deeply about engineering craft. We build reusable components and shared libraries that solve cross-domain problems, abstracting away complexity so that common patterns are handled well in one place rather than duplicated across pipelines. We look for recurring challenges and invest in building tools that improve reliability, reduce risk, and make our teams more productive. This mindset means we are always looking for opportunities to raise the bar on performance, code quality, and maintainability.
We are actively exploring how agentic and generative AI can augment our data workflows to improve data coverage and quality. We are also contributing to Bloomberg's semantic data initiatives, helping define how data flows into Bloomberg's enterprise knowledge graph.
We value incremental delivery over big-bang releases. Getting our work into the hands of users early helps ensure we are building what the business needs. We foster a culture of psychological safety, collaboration, and continuous learning, where it's safe to ask questions, challenge ideas, and support each other to deliver under pressure.
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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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