Team Leader - Data Engineering (Shared Infrastructure) in London

Team Leader - Data Engineering (Shared Infrastructure) in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Bloomberg

At a Glance

  • Tasks: Lead a team to develop innovative data infrastructure and improve workflows across the organisation.
  • Company: Bloomberg, a leader in data-driven technology with a focus on innovation.
  • Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
  • Other info: Join a dynamic team with a commitment to diversity and inclusion.
  • Why this job: Make a real impact by optimising data workflows and driving AI innovation.
  • Qualifications: Experience in data engineering leadership and strong technical judgement.

The predicted salary is between 80000 - 100000 £ per year.

Location: London

Business Area: Data

Description & Requirements

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.

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.

Team Leader - Data Engineering (Shared Infrastructure) in London employer: Bloomberg

Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Team Leader in Data Engineering, you will have the opportunity to lead a passionate team while benefiting from extensive professional development resources and a commitment to diversity and inclusion. With a focus on scalable solutions and cutting-edge technology, Bloomberg empowers its employees to make a meaningful impact in the financial data landscape.

Bloomberg

Contact Details:

Bloomberg Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Team Leader - Data Engineering (Shared Infrastructure) in London

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data workflows and LLM-enabled solutions. This gives potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by diving deep into the company’s tech stack and recent projects. Being able to discuss how your experience aligns with their needs will set you apart from the crowd. Plus, it shows you're genuinely interested!

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, we love seeing candidates who take that extra step to connect directly with us.

We think you need these skills to ace Team Leader - Data Engineering (Shared Infrastructure) in London

People Leadership
Technical Judgment
Data Engineering
Shared Systems Design
Framework Development
Scalable Solutions
Analytical Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Team Leader role. Highlight your experience in data engineering and leadership, and show how your skills align with our mission at StudySmarter.

Showcase Your Technical Skills:We want to see your technical fluency! Include specific examples of projects where you've designed or scaled shared frameworks, and how you’ve tackled complex data challenges in previous roles.

Demonstrate Leadership Experience:As a Team Leader, your ability to guide and mentor is key. Share stories that illustrate your leadership style and how you've successfully influenced teams without direct authority.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.

How to prepare for a job interview at Bloomberg

Know Your Stuff

Make sure you brush up on your technical knowledge, especially around data engineering and shared systems design. Be ready to discuss your experience with LLM-enabled workflows and how you've tackled complex data problems in the past.

Show Your Leadership Skills

Prepare examples that showcase your people leadership experience. Think about times when you've guided teams through technical challenges or influenced partners without direct authority. This will demonstrate your ability to lead in a multi-functional environment.

Align with Their Goals

Research Bloomberg's strategic objectives and think about how your skills can help them achieve these goals. Be ready to discuss high-impact opportunities you've identified in previous roles and how you would approach aligning team needs with organisational priorities.

Communicate Clearly

Practice articulating your thoughts clearly and concisely. You’ll need to translate complex requirements into practical solutions, so being able to communicate effectively is key. Use examples from your past to illustrate how you've successfully driven alignment across teams.