Senior Data Engineer

Deliveroo; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading food delivery service in the Greater London area is seeking a Data Engineer to join their Analytics Engineering team. In this role, you will design and build robust data platforms that support analytical decision-making and optimize data workflows. Ideal candidates should have experience with modern data technologies and possess a problem-solving mindset. The position offers an environment for personal and professional growth, with a strong emphasis on collaboration and innovation in an evolving global context.

Benefits

Healthcare benefits

Generous annual leave

Support for charitable causes

Qualifications

• Experience in data engineering practices and technologies.
• Familiarity with cloud services and deploying infrastructure.
• Understanding of data pipelines and modelling practices.

Responsibilities

• Design and maintain data platform components and pipelines.
• Develop tools to enhance platform efficiency and scalability.
• Ensure platform reliability and compliance across assets.

Skills

Proficiency in modern data engineering practices and technologies

Experience with Infrastructure as Code (IaC)

Deep understanding of data pipelines

Product-oriented mindset

Ability to build scalable data systems

Collaborative problem-solving approach

Curiosity to explore new technologies

Expertise in agile software development

Tools

Python

Kubernetes

AWS

Terraform

Kafka

Prefect/Airflow

dbt

Job description

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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; second, 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

Workplace & 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.

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.