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- Tasks: Design and build a next-gen data acquisition platform for Bloomberg's enterprise products.
- Company: Join Bloomberg, a leader in financial technology with a diverse and inclusive culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on how data drives analytics and trading for clients worldwide.
- Qualifications: 4+ years in C++ or Python, with experience in scalable systems and APIs.
- Other info: Collaborate with talented teams and tackle exciting challenges in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
The Enterprise Product Platform (EPP) builds the technology foundation that unifies workflows, data, and capabilities across Bloomberg's enterprise products. Within EPP, the Data Acquisition group provides the core data platform that connects enterprise applications to trusted, consistent datasets used for analytics, trading, and reporting.
The group is building a next-generation acquisition platform that delivers a unified data experience across Bloomberg's enterprise ecosystem. This platform provides standardized interfaces, consistent data definitions, and a metadata-driven data dictionary that enhances transparency and interoperability. By creating a common framework for acquiring, defining, and distributing data, EPP Data Acquisition enables enterprise products to seamlessly access high-quality data at scale.
As a Senior Software Engineer on the Data Acquisition team, you will design and build core services that define and deliver Bloomberg's enterprise data model. You will develop APIs and platform components, work on scalable infrastructure, and collaborate closely with product and engineering partners across the firm. Your work will directly impact how Bloomberg's enterprise products deliver consistent, reliable, and transparent analytics to clients around the world.
What's in it for you?
- Design and build the new data acquisition platform, including the new data dictionary system
- Help unify fragmented acquisition systems into a single, scalable platform
- Collaborate with engineers and product teams across Bloomberg to drive adoption
- Improve data transparency and discoverability through metadata-driven APIs
You’ll need to have:
- 4+ years of experience in C++ or Python, with a focus on building scalable, high-performance systems
- Experience with distributed systems, data platforms, or API-driven architectures
- Commitment to building robust, transparent, and well-tested software
- Proven collaboration skills and the ability to work across multiple teams
- Excellent problem-solving and communication skills
We’d love to see:
- A passion for solving interoperability and data transparency challenges
- A strong sense of ownership and drive to deliver effective solutions
- Interest in financial markets and how enterprise data powers client workflows
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 - Enterprise Products Data Acquisition in London employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - Enterprise Products Data Acquisition in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Bloomberg or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the technical interview by brushing up on your C++ or Python skills. Practice coding challenges and system design questions that relate to scalable systems. We want you to shine when it comes to showcasing your problem-solving abilities!
✨Tip Number 3
Show your passion for data transparency and interoperability during interviews. Share examples of how you've tackled similar challenges in the past. This will demonstrate your commitment to building robust solutions that align with Bloomberg's goals.
✨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 genuinely interested in joining the team at Bloomberg.
We think you need these skills to ace Senior Software Engineer - Enterprise Products Data Acquisition in London
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 experience in C++ or Python, and any work you've done on scalable systems or APIs.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data transparency and interoperability. Share specific examples of how you've tackled similar challenges in your previous roles.
Showcase Collaboration Skills: Since this role involves working closely with various teams, emphasise your collaboration skills. Mention any projects where you successfully worked across different teams to achieve a common goal.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Tech Stack
Make sure you’re well-versed in C++ and Python, as these are crucial for the role. Brush up on your knowledge of building scalable systems and be ready to discuss your past projects that showcase your experience with distributed systems and API-driven architectures.
✨Understand the Business
Familiarise yourself with Bloomberg's enterprise products and how data acquisition plays a role in their success. Being able to articulate how your work can enhance data transparency and interoperability will show that you’re not just a techie but also understand the bigger picture.
✨Showcase Collaboration Skills
Prepare examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your communication skills and problem-solving abilities, as these are key to working effectively within the Data Acquisition group.
✨Demonstrate Passion for Data
Express your enthusiasm for tackling challenges related to data transparency and interoperability. If you have any personal projects or experiences that reflect this passion, be sure to share them during the interview to make a memorable impression.
