At a Glance
- Tasks: Build and operate scalable data pipelines using cutting-edge technologies.
- Company: Join Bloomberg, a leader in data technology and innovation.
- Benefits: Competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
- Why this job: Make a real impact on systems processing billions of events daily.
- Qualifications: 4+ years in backend engineering with Python or Go; experience with distributed systems.
The predicted salary is between 63000 - 77000 £ per year.
Who are we? Bloomberg onboards vast volumes of external data that ultimately power products such as the Bloomberg Terminal. Our team builds infrastructure that enables engineering teams and data management professionals to ingest, process, and operate those data flows reliably at scale. DTP (Data Technologies Pipelines) is our Kubernetes-based platform for building and operating event-driven microservices at scale. Engineering teams and data management professionals use DTP to build data ingestion pipelines from small services that process billions of events per day. Built-in features such as traffic mirroring and observability help teams safely test changes in production-like environments and understand how their systems behave as incoming data changes.
We build systems that scale horizontally and are designed for reliability, usability, and operational simplicity. They are primarily written in Python and Go, built on top of Kubernetes, and leverage technologies such as Kafka, S3, Comdb2, and OpenTelemetry.
What’s in it for you? You will work on a large-scale platform with wide impact across Bloomberg Engineering and Data. The role combines distributed systems, developer experience, production operations, and product-minded platform engineering.
- Build features that scale Bloomberg’s data acquisition business.
- Own feature development start-to-finish, from design through rollout.
- Improve the reliability, scalability, and usability of systems processing billions of events per day.
Who are you? You care about building reliable production systems that are intuitive for users and drive the business forward. You are autonomous without being isolated: you can take a problem, explore the trade-offs, make a plan, communicate it clearly, and drive the work forward with your team. You are comfortable with distributed systems, production debugging, and operational trade-offs. You expect failures to happen, and you think about redundancy, recovery, and graceful degradation when designing systems. You are technically curious, pro-active, open to feedback, and comfortable changing your approach when the evidence changes.
We’ll trust you to:
- Design, build, test, and operate infrastructure and platform features for event-driven data pipelines.
- Work across the stack to build simple and reliable user-facing abstractions over complex distributed infrastructure.
- Own our systems end-to-end, from identifying problems through to production rollout and on-call support.
- Identify technical and feature gaps, write clear proposals, communicate trade-offs, and collaborate with teams across Bloomberg to deliver improvements.
- Contribute to operational excellence through testing, monitoring, troubleshooting, incident response, and post-incident learning.
You’ll need to have:
- 4+ years of backend engineering experience in Python, Go, or a comparable language, and occasional contributions to frontend development.
- A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
- Hands-on experience building and maintaining distributed systems in production.
- Knowledge of event-driven architectures using Kafka or similar technologies.
- Good understanding of Linux systems, networking fundamentals, and production debugging.
- A product mindset: you care about user impact, developer experience, and making systems easier to use.
- Clear written and verbal communication, including design documents, operational updates, and incident follow-ups.
We’d love to see:
- Experience building platforms, frameworks, or infrastructure used by other software engineers.
- Experience running systems on Kubernetes or other containerised runtimes.
- Experience with telemetry technologies such as Prometheus, Grafana, OpenTelemetry, or similar.
- Experience with scalable storage technologies such as S3, Cassandra, or comparable systems.
- Experience with deployment automation and reproducible operations.
- Experience building modern web applications using JavaScript/TypeScript or React.
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.
Senior Software Engineer - Data Technologies Pipelines in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Data Technologies Pipelines in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Bloomberg or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Bloomberg.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Bloomberg.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Bloomberg that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer - Data Technologies Pipelines in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Bloomberg.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bloomberg and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Bloomberg
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Bloomberg uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
