At a Glance
- Tasks: Lead a team to develop innovative data infrastructure and reusable workflows.
- Company: Bloomberg, a leader in data-driven technology solutions.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and collaboration.
- Why this job: Make a real impact by optimising data workflows with cutting-edge AI technologies.
- Qualifications: Experience in data engineering and leadership in technical environments.
The predicted salary is between 80000 - 100000 £ per year.
Location: London
Business Area: Data
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
Our Team:
The Data AI group brings innovative AI technologies into the Data organization while contributing deep financial domain expertise to the development of AI-powered products. We partner closely with stakeholders to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies impact by delivering intelligent data solutions and domain-informed systems that enhance the capabilities and competitiveness of Bloomberg’s offerings.
What's the Role?
We are seeking a Team Leader to drive our Shared Infrastructure programs within Data. This role is central to enabling scalable and responsible data workflows by leading a team passionate about reusable infrastructure, integration patterns, and operational standards across the organization. You will partner closely with Engineering, Product, and Data teams to identify high-impact opportunities, define and implement reusable solutions, and enable consistent, efficient workflows across a distributed set of teams. This includes crafting how capabilities such as automated evaluation and LLM-enabled annotation are adopted and integrated into production workflows, in close collaboration with partner teams who own underlying platforms.
The ideal candidate is a thoughtful and pragmatic leader who combines deep technical fluency with a systems-oriented approach and an interest in emerging data and LLM-based workflows. You are able to translate sophisticated, evolving needs into clear, reusable approaches and scalable patterns, and you are comfortable operating in environments where ownership is distributed across teams. You bring experience contributing to and scaling shared data systems or frameworks, with exposure to evaluation workflows and LLM-enabled pipelines, and a clear perspective on how these capabilities should be integrated into production environments. You excel at identifying patterns across disparate team needs and translating them into well-defined requirements, reusable solutions, and adoption strategies. You are effective at driving alignment and securing partner consensus, particularly in ambiguous environments where success depends on influence rather than direct ownership. You have a track record of building communities of practice and guiding teams toward consistent, scalable approaches without relying on formal authority.
We'll Trust You To:
- Lead and develop a central team responsible for defining and delivering shared data infrastructure and reusable workflow patterns that improve consistency and efficiency across teams.
- Provide technical and strategic leadership, translating diverse team needs into clear requirements, scalable solutions, and well-defined approaches to data workflows, automated evaluation, and efficient annotation.
- Partner closely with Engineering, Product, and Data leaders to identify high-impact opportunities for shared capabilities, align on priorities, and ensure solutions can be optimally put into production within technical, compliance, and cost constraints.
- Act as a central point of coordination for cross-team needs, identifying common gaps, reducing duplication, and enabling consistent approaches without becoming a bottleneck or enforcement layer.
- Ensure shared components, frameworks, and patterns are well-designed, well-documented, and broadly adopted, with a focus on usability, scalability, and real-world impact.
- Mentor and develop data engineers, encouraging a culture of pragmatism, strong technical judgment, and a focus on building solutions that are both scalable and widely usable.
You'll Need to Have:
- Prior people leadership experience, ideally guiding teams working on technical, data, or infrastructure-related problems in multi-functional environments.
- Strong technical judgment in data engineering and shared systems design, with the ability to engage credibly with engineering partners on architecture, trade-offs, and scalable solutions.
- Experience designing and scaling shared frameworks, systems, or platform-like capabilities across multiple teams.
- Proven ability to operate in ambiguous, high-judgment environments, translating diverse needs into clear requirements and practical, scalable solutions.
- Proven track record of driving alignment and influencing partners across engineering, product, and data teams without direct authority.
- Strong analytical and decision-making skills, with a track record of delivering clear, well-reasoned, and impactful solutions.
We'd Love to See:
- Experience with LLM-enabled workflows or annotation pipelines.
- Familiarity with evaluation or data quality frameworks.
- Exposure to regulated or cost-constrained environments.
- Experience partnering with engineering to scale prototypes into production.
- Background in platform, infrastructure, or centralized enablement teams.
- Experience contributing to communities of practice or developer enablement efforts.
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.
Team Leader - Data Engineering (Shared Infrastructure) in London employer: Bloomberg L.P.
Bloomberg is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. As a Team Leader in Data Engineering, you will benefit from a culture that prioritises employee growth through mentorship and the opportunity to lead impactful projects that enhance data workflows. With a commitment to diversity and inclusion, Bloomberg fosters a supportive atmosphere that empowers employees to excel and contribute to cutting-edge solutions in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Team Leader - Data Engineering (Shared Infrastructure) in London
✨Tip Number 1
Networking is key! Reach out to your connections in the industry, especially those who work at Bloomberg or similar companies. A friendly chat can lead to valuable insights and even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions related to data engineering and leadership. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience.
✨Tip Number 3
Showcase your passion for data and technology during interviews. Share specific examples of how you've led teams or implemented innovative solutions in past roles. This will help you stand out as a candidate who truly understands the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at Bloomberg.
We think you need these skills to ace Team Leader - Data Engineering (Shared Infrastructure) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data engineering and leadership. We want to see how your skills align with the role of Team Leader, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Don’t forget to emphasise your technical fluency in data systems and workflows. We’re looking for someone who can engage with engineering partners, so include specific examples of your work with shared frameworks or LLM-enabled solutions.
Demonstrate Leadership Experience:We value strong leadership, so share your experiences guiding teams through complex projects. Highlight any instances where you’ve influenced outcomes without direct authority, as this is key for our collaborative environment.
Apply Through Our Website:For the best chance of success, make sure to submit your application through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Data Engineering Basics
Brush up on your data engineering fundamentals, especially around shared systems design and LLM-enabled workflows. Be ready to discuss how you’ve applied these concepts in previous roles, as this will show your technical fluency and ability to engage with engineering partners.
✨Showcase Your Leadership Style
Prepare to talk about your leadership experience, particularly in guiding teams through technical challenges. Think of specific examples where you influenced outcomes without direct authority, as this aligns with the role's emphasis on driving alignment across teams.
✨Understand the Bigger Picture
Familiarise yourself with Bloomberg’s products and how data drives their success. Being able to connect your skills and experiences to their strategic objectives will demonstrate your understanding of the company’s mission and how you can contribute to it.
✨Prepare for Ambiguity
Expect questions that assess your ability to operate in ambiguous environments. Have examples ready that illustrate how you've translated diverse team needs into clear, actionable solutions, showcasing your analytical and decision-making skills.