Senior Software Engineer - DataHub Experience & Control Plane

AI in this role

ai-agents

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.

DataHub is Bloomberg’s experience layer for data. 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.
What’s the role?

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.

We’ll trust you to:

Build intuitive, production-grade product experiences for engineers working with data.
Design and implement full-stack workflows across React-based interfaces, APIs, and backend services.
Build control-plane systems that turn complex data infrastructure into simple, reliable user actions.
Apply design thinking to technical workflows: understand user pain points, prototype better experiences, and turn strong ideas into production software.
Shape experiences around data discovery, cataloging, schema understanding, semantic context, lineage, and AI-assisted workflows.
Bring product taste to engineering decisions, from interaction design and API shape to latency, observability, failure handling, and operational safety.
Help create new data experiences across portals, notebooks, query tools, programmable workflows, and agentic interfaces.
Design systems that are simple at the surface, but reliable, transparent, and scalable underneath.
Work with engineers across Bloomberg to understand how they use data and turn recurring friction into platform capabilities.
Mentor other engineers and contribute to the technical direction of the platform.

You’ll need to have:

Strong professional software engineering experience building production systems.
Experience building reliable frontend applications using React, Vue, or a similar modern UI framework.
Backend engineering experience in Java, Kotlin, Scala, Go, or another production backend language.
Strong systems fundamentals across distributed systems, Linux, networking, APIs, service reliability, or data infrastructure.
Experience owning features or services end-to-end, from design and implementation through rollout and operation.
Product-minded engineering judgment: the ability to translate ambiguous user needs into intuitive, reliable software experiences.
Good design taste: clear workflows, useful defaults, fast feedback loops, understandable errors, safe automation, and interfaces that make complex systems feel simple.
A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

We’d love to see:

Experience building developer platforms, internal tools, control planes, data platforms, cloud platforms, or engineering productivity products.
Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences.
Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures.
Experience applying design thinking, prototyping, user research, or developer-experience principles to technical platforms.
Interest in AI-assisted developer workflows, agentic systems, semantic search, data discovery, metadata management, or data infrastructure.
A track record of taking ambiguous ideas and turning them into polished, production-quality software.

Why this role is different

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.
About Us

Meet the DataHub Engineering Team: https://www.techatbloomberg.com/blog/meet-the-team-datahub-engineering/

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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Senior Software Engineer - DataHub Experience & Control Plane at Bloomberg rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Agents

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review

Get new software engineer jobs (Works on AI ●●●○ or higher) by email

One email a week with the new software engineer jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Also alert me for new jobs at Bloomberg

Free. One email a week. Unsubscribe in one click.