Senior Software Engineer - DataHub Experience & Control Plane London, GBR Posted today

Senior Software Engineer - DataHub Experience & Control Plane London, GBR Posted today

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Bloomberg L.P.

At a Glance

  • Tasks: Design and build the next-gen DataHub for seamless data experiences.
  • Company: Join Bloomberg, a leader in financial data technology.
  • Benefits: Enjoy competitive pay, health perks, remote work, and growth opportunities.
  • Other info: Collaborative environment with a focus on diversity and inclusion.
  • Why this job: Shape how engineers interact with data and drive innovation.
  • Qualifications: Strong software engineering skills and experience with modern tech stacks.

The predicted salary is between 70000 - 90000 £ per year.

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. 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.

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: 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 for an inside look at our culture, values, and the people behind our success. 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

Senior Software Engineer - DataHub Experience & Control Plane London, GBR Posted today employer: Bloomberg L.P.

Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among engineers. Located in London, the company provides ample opportunities for professional growth, mentorship, and the chance to work on cutting-edge projects that shape the future of data experiences. With a commitment to diversity and inclusion, Bloomberg ensures a supportive environment where every employee can thrive and contribute meaningfully to impactful solutions.

Bloomberg L.P.

Contact Details:

Bloomberg L.P. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer - DataHub Experience & Control Plane London, GBR Posted today

Tip Number 1

Network like a pro! Reach out to current or former employees at Bloomberg on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into DataHub and its functionalities. Understand how it shapes the data experience and be ready to discuss how your skills can enhance that journey.

Tip Number 3

Show off your problem-solving skills! Be ready to tackle some coding challenges or system design questions during the interview. Practice makes perfect, so brush up on your algorithms and system design principles.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Senior Software Engineer - DataHub Experience & Control Plane London, GBR Posted today

Full-Stack Development
React
Backend Engineering
Java
Kotlin
Scala
Go

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Software Engineer role. Highlight your full-stack experience, especially with React and backend languages like Java or Go. We want to see how you can contribute to DataHub!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background makes you a great fit for this role. Don’t forget to mention any relevant projects or experiences that showcase your engineering judgement and design taste.

Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve building intuitive user experiences or data-driven applications.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the team at Bloomberg!

How to prepare for a job interview at Bloomberg L.P.

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like React for frontend and Java or Go for backend. Brush up on your knowledge of distributed systems and APIs, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Highlight your ability to translate user needs into intuitive software experiences, as this role requires a strong product-minded approach.

Demonstrate Design Thinking

Be ready to talk about how you apply design thinking to technical workflows. Share examples of how you’ve improved user experiences through prototyping and user research, especially in complex systems.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects and challenges. This shows your genuine interest in the role and helps you understand how you can contribute to shaping the data experience at Bloomberg.