Analytics Engineering Manager

London
3 weeks ago
Create job alert

Analytics Engineering Manager

London / Hybrid

Who We Are

Our ambition is to be the definitive food company, feeding people three times a day with great food from the World's best-loved restaurants, all with an unparalleled level of convenience.

From distributed computing to large-scale system design, complex algorithms to beautiful user interfaces, we have teams working on every step of the journey, in real-time, to ensure we continue to offer our customers a growing selection of choice at the best price with a fantastic level of service.

We work with thousands of restaurants worldwide, from renowned local gems to your favourite chains, allowing them to open up a new revenue stream and reach new customers. Our restaurant partners, riders and customers are as passionate about food as we are, and if you want to improve millions of users by solving some of the biggest technical challenges at great scale, come on board and join the ride.

The Team

Analytics Engineering is a growing area at Deliveroo. The team is a major enabler for Data science, Product Development and Business insight. Our analytics engineers are building our ETL, ingesting more and more data every day, building data models and data visualisations, all on our leading Cloud native data platform. Having demonstrated great impact, we need even more Analytics Engineers and more Analytics Engineering managers to support them!

You will spend time:

  • Hire and grow a diverse, accomplished group of analytics engineers, gaining fantastic exposure to scaling a tech team at a unique pace

  • Create a learning environment for your team while being a mentor for analytics engineers and up and coming leaders

  • Line managing one or more teams of analytics engineers

  • Work with other Analytics Engineering Managers to share understanding of multiple teams

  • Contribute to product delivery, by ensuring analytics engineers are in the right place at the right time

  • Become instrumental in improving and implementing processes and values that scale.

  • Provide technical mentorship to engineers building and deploying large-scale projects internationally

  • Collaborate with teams including product, design, operations

  • You will report to a Senior Data Science Manager and work closely with Directors & VP's of Engineering

    Requirements:

  • 3 years of experience as a Engineering Manager, managing individual contributors (Analytics Engineers/BI developers/Data Platform engineers)

  • Experience being an analytics/BI engineer at a mid/senior level, but is now not looking to do individual contributor work

  • Have worked with SQL in the last 2 years

  • Familiarity with modern cloud data stack (Snowflake, Prefect, Looker, or AWS)

  • Have experience working with senior partners in projects, and other team members business wide.

  • Experience working in a matrix organisation

  • Can bring together a group of individuals from many different backgrounds and skills to form a cohesive team.

  • Is comfortable managing ICs across multiple teams in different industries, and ruthlessly prioritising.

    This is a Hybrid position, requiring you to work from our London HQ 2-3 days per week

    Benefits

    At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

    Workplace & Diversity

    At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation.

    We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing start-ups around

Related Jobs

View all jobs

Senior Machine Learning Product Manager (Deploy)

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Data Science Manager

Data Science Manager – Gen/AI & ML Projects - Bristol

Modelling Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

Jobs

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.