Analytics Engineering Manager

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We’re looking for an Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on. ABOUT THE ANALYTICS ENGINEERING ORG Analytics Engineering is a core pillar of Deliveroo’s Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning. The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team of Analytics Engineers and helping shape AE standards, culture and direction across the wider org. WHAT YOU'LL BE DOING - Directly lead a team of Analytics Engineers embedded in a defined business domain, owning their performance, development and wellbeing - Own the AE roadmap for your domain, identifying the highest-leverage investments, prioritising competing requests, and building the case for them with your business and product stakeholders - Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your team works by default - Maintain strong technical involvement: reviewing data models and SQL, guiding architectural decisions, and stepping in hands-on when your team needs unblocking - Contribute to AE-wide decisions on tooling, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate team - Build a high-performing, inclusive team culture by giving regular and actionable feedback, handling performance and motivation challenges, and running effective rituals - Partner with Recruiting to hire strong, diverse AE talent into your team WHAT YOU'LL NEED TO THRIVE ESSENTIAL - Experience in an Analytics Engineering, BI Engineering, or Data Engineering role, with strong, hands-on SQL foundations you still draw on regularly - Proven experience managing a team of ICs, with a track record of developing people, giving hard feedback, and handling typical team situations independently - Demonstrated ability to own a technical roadmap for a domain area and deliver against it with measurable business impact - Strong grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on technical decisions and unblock your team - Comfortable engaging and influencing at senior business and product level, with experience aligning analytics investment to domain priorities NICE TO HAVE - Experience in a marketplace, e-commerce, grocery or retail analytics context - Familiarity with semantic and metrics layer tooling, or Python for data automation and pipeline work - Exposure to AI for Data, including agentic AI methods, semantic layers, or AI-assisted analytics workflows - Experience contributing to analytics ways of working: documentation standards, peer review processes, onboarding, and knowledge sharing WHY JOIN US? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builder…