Deliveroo
LondonHybridPosted 18 Sept
Pay not given in the listing
Apply nowSee my fit scoreTailor a free CV to this jobWill they reply? Deliveroo hasn't joined KindHire, so we can't promise an answer. Track it and we'll check in after 10 days and help you chase.
You'll apply on Deliveroo's own site. KindHire is always free for jobseekers.
Lead a team of Analytics Engineers embedded in a business domain, owning their pipelines, models and metrics. Own the domain's AE roadmap and drive a data products mindset, staying hands-on with SQL and models.
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
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.
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
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 builders and more, brought together by a shared drive to make things better. Working here you can expect to:
Work on a complex, always-on marketplace that impacts millions every day.
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership
environment.
Take on big, ambiguous problems and accelerate your career with strong support.
High standards, collaboration, flexible working and continuous learning.
Competitive salary and equity options, so you’re rewarded for the impact you make.
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness.