Data Engineer

Deliveroo
City of London, England
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom
£500 – £550 pd

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom
£42,287 – £47,191 pa Hybrid Clearance Required

Data Engineer

TXP Telford, Shropshire, SY2 5TN, United Kingdom
£540 – £541 pd Hybrid Clearance Required

Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £450 pd Hybrid Clearance Required

Data Engineer

Intelligent Steps London, United Kingdom
£500 – £600 pd Hybrid
Posted
21 Nov 2025 (6 months ago)

Get started with your online application

Not quite your dream role? Sign up to get notified when the right vacancy comes along.

Why Deliveroo?

Deliveroo’s mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of an industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers.

Working at Deliveroo is the perfect environment to build an engineering career, driven by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities.

The Role

As part of the Analytics Engineering team, you’ll help design, build, and scale the core data and analytics platforms that power decision-making across Deliveroo. You’ll work on the systems and tooling that form the foundation of our data ecosystem — ensuring reliability, performance, and a seamless experience for the analytics engineers, data scientists, and business teams who depend on them.

As a Data Engineer, your focus will be on evolving our core data platform capabilities — from data modelling frameworks and batch/real-time data pipelines to governance solutions. You’ll play a key role in automating, optimising, and extending these systems to make data more discoverable, trustworthy, and actionable across the organisation.

This is a hands‑on engineering role where you’ll combine deep technical expertise with a product mindset, developing solutions that empower others to deliver insights and drive growth. You’ll also contribute across the wider data stack, from building infrastructure and automation pipelines to contributing to design discussions and engineering best practices.

This is an exciting period for the team as we begin to integrate our data platforms with our new global counterparts at DoorDash and Wolt, opening up new opportunities to shape a world‑class, unified analytics ecosystem.

Key Responsibilities

Design, build, and maintain robust data platform components, including pipelines, orchestration, and modelling frameworks

Develop automation and tooling that improve efficiency, scalability, and data quality across the analytics stack

Enhance and support platform reliability and observability, participating in on‑call rotations and proactive issue resolution

Support and optimise governance and metadata systems to improve discoverability, trust, and compliance across data assets

Partner with analysts, analytics engineers, and data scientists to understand user needs and deliver impactful platform solutions

Contribute to the wider engineering community through design reviews, code reviews, documentation, and knowledge sharing, collaborating globally with teams across Deliveroo, DoorDash, and Wolt to define shared data standards and evolve our platform architecture

Skillset

We want to emphasise that we don’t expect you to meet all of the below but we would love for you to have experience in some of the following areas:

Proficiency in modern data engineering practices and technologies, including Prefect/Airflow, Python, dbt, Kubernetes, Kafka or similar

Experience with Infrastructure as Code (IaC) and cloud‑based services e.g. deploying infrastructure on AWS using Terraform

A deep understanding of data pipelines, orchestration, and data modelling practices

A product‑oriented mindset, focused on enabling analysts, analytics engineers, and end users to deliver scalable, high‑impact data products

A proven ability of building scalable, maintainable, and automated data systems that add measurable business value

A collaborative, cross‑functional approach to problem‑solving and system design

Curiosity and initiative to explore new technologies and ways of working, especially in a global and evolving environment

Expertise in modern, agile software development processes

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.


Diversity

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.

A competitive and comprehensive compensation and benefits package

Compensation
  • We aim to pay every employee competitively for the role they are performing in their respective location
  • Depending on role and location, some employees may be eligible for an annual cash bonus, sign‑on bonus or relocation support
  • Up to 5% matched pension contributions
Equity
  • Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success
Food
  • Free Deliveroo Plus: free delivery and access to special offers
  • Team lunches from the best local restaurants
Time away
  • 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
  • One day of paid leave per year to volunteer with a registered charity
  • Funded single cover healthcare on our core plan, with the option to add family members at own cost
  • On‑site gym (HQ), discounted external gym membership
  • Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
  • Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
  • Life assurance
Work Life
  • Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
  • Excellent kit to enable working from home and a parent‑friendly working culture
  • Access to free mortgage advice
  • Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
  • Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high‑quality training and content
  • Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in‑office yoga sessions


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.