Analytics Engineering Manager
Manager · Full Time
Opens Deliveroo's application page
Role
What you'll do.
Deliveroo is seeking an Analytics Engineering Manager to lead a team of Analytics Engineers in their London headquarters, driving data product development and decision-making across their three-sided marketplace. The role involves managing a team, shaping data infrastructure, and contributing to the strategic evolution of analytics engineering at the company.
Responsibilities
- Team Leadership: Directly manage a team of Analytics Engineers within a specific business domain, overseeing their performance, professional development, and team well-being
- Strategic Planning: Own the Analytics Engineering roadmap for the domain, identifying high-leverage investments and prioritizing technical initiatives with business stakeholders
- Technical Governance: Drive data product development with clear ownership, establish Service Level Agreements (SLAs), implement data observability, and define data contracts
- Technical Involvement: Maintain hands-on technical engagement through SQL review, architectural guidance, and direct problem-solving
- Organizational Development: Contribute to company-wide Analytics Engineering standards, tooling decisions, and process improvements
- Team Culture: Build an inclusive, high-performing team culture through regular feedback, performance management, and effective team rituals
- Talent Acquisition: Partner with Recruiting to hire diverse and talented Analytics Engineering professionals
Qualifications
What we look for.
Technical
SQL Expertise
Strong, hands-on SQL foundations with ability to apply advanced query techniques
Cloud Data Technologies
Comprehensive knowledge of cloud data warehousing, transformation tooling, and data modeling
Data Quality Practices
Expertise in implementing robust data quality and observability frameworks
Education
Advanced Degree
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field preferred
Experience
Team Management
Proven experience managing individual contributors, developing talent, and handling complex team dynamics
Technical Roadmap
Demonstrated ability to own and deliver technical roadmaps with measurable business impact
Stakeholder Engagement
Experience influencing and aligning with senior business and product leadership
Skills
Required
Analytics Engineering
Expertise in building and managing complex data pipelines and analytics infrastructure
Team Management
Strong leadership skills with ability to develop and motivate technical teams
Strategic Thinking
Ability to translate technical capabilities into business strategy and value
Preferred
Marketplace Analytics
Nice to haveExperience in e-commerce, grocery, or retail analytics contexts
AI Data Technologies
Nice to haveFamiliarity with semantic layers, AI-assisted analytics, and advanced data automation techniques
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·GBP 120,000 – 180,000
Benefits
Competitive Compensation
Competitive salary with equity options to share in company success
Flexible Working
Hybrid work model with 3 days per week on-site in London
Career Growth
Opportunities to work on challenging, large-scale problems with strong professional development support
Global Collaboration
Part of a global team spanning DoorDash and Wolt, offering broad exposure and networking opportunities
Process
Interview steps.
- 01
Initial Screening
HR review of application and initial qualifications
- 02
Technical Phone Screen
Detailed discussion of technical background and analytics engineering expertise
- 03
Management Interview
Assessment of leadership skills, team management approach, and strategic thinking
- 04
Technical Challenge
Practical assessment of data engineering and SQL skills
- 05
Final Leadership Interview
Meeting with senior leadership to evaluate overall fit and potential impact
Full posting
Original listing.
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 builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧 Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership
environment.
🧠Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰 Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
Our Global Structure
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.
Diversity, Equity and Inclusion
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!
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