National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Products Engineering Lead

BMLL Technologies
London
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning and AI Engineering Lead

Machine Learning & AI Engineering Lead

Machine Learning & AI Engineering Lead

Machine Learning & AI Engineering Lead

Machine Learning & AI Engineering Lead

Data Science Lead

About BMLL

We are the leading independent provider of harmonised Level 3 historical data and analytics to the world’s most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies and generate alpha at unparalleled speed and scale.

We have a fantastic team and our culture is inclusive and highly collaborative - a place where our employees are encouraged to be themselves.

We give all our employees share options, empowering them to get involved in decision making and help shape the future of our company as we continue to grow and scale.

We offer a combination of remote and office (London based) working, weekly team lunches and plenty of office snacks!

For more information, please visit our website,www.bmlltech.comor visit our Twitter, @bmlltech or LinkedIn, @BMLL.

About the Role

We are looking for a Data Products Engineering Lead to build and maintain our data products, these will include content such as Market Data and Analytics. The content will be distributed to our customers through various channels such as cloud storage and databases, file transfers and APIs. The lead will improve processes, reliability and data quality inline with customer expectations.

This is an opportunity to join a cutting-edge FinTech company with the potential to grow your technical, finance, cloud & engineering skills.

Responsibilities

  • Leading a small team of Data and Software Engineers with line management responsibilities.
  • Owning the full scope of assigned development projects, including liaising with the Data Feed Product Manager to gather requirements, designing the solution with the team, and building and delivering completed functionality to production.
  • Design & implementation of the task scheduling (Airflow), APIs, data lakes / data warehouses (S3, Snowflake, PostgreSQL) and distribution channels such as S3 and SFTP and Snowflake(Shares, Market Place).
  • Onboarding datasets(internal) and exposing them through distribution channels.
  • Supporting implementation work.
  • Helping to drive improvements in all areas, including data quality, data standards, data schema management, data tooling, deployment, testing and CI.
  • Understanding the data, how it reaches BMLL, how we process it and deliver it to customers.
  • Some second-line support of the daily batch processes and the data, shared amongst the team..

Requirements

Essential:

  • Team Lead experience.
  • Industry experience of building data products with a data quality component.
  • Industry experience of production-level big data batch pipelines on AWS.
  • Industry experience of Snowflake.
  • Industry experience of developing on a Linux platform.
  • Experience of industry-standard development methodologies such as source code control, unit testing and continuous integration
  • Ability to self-organise and deliver a project against agreed timelines.
  • Strong problem solving skills
  • Strong communication skills
  • Computer science or other STEM degree

What makes this job special:

  • All your work will have a direct impact on the business, as we work closely with our product team.
  • You will be part of a team that works on a petabyte scale data lake and an award-winning data science environment to analyse the data.
  • You will come in at a time where you will help us shape technology in the firm.

Benefits

  • Competitive salary
  • 25 days holiday plus bank holidays
  • Share Options after completion of probationary period
  • Pension Scheme
  • Private Medical Insurance
  • Life Insurance
  • Combination of remote and London based office working
  • A yearly Well being Physical Activity budget
  • Continuous earning through training and challenging projects
  • Collaborative culture
  • Weekly team lunches
  • Free Fruit, snacks, and drinks provided throughout the day (When office based)
  • Regular Team Socials
  • Cycle to Work Scheme

We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity and committed to removing barriers throughout our hiring process - if you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know .

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.