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For Companies At a Glance
- Tasks: Design and build robust data platforms that power decision-making at Deliveroo.
- Company: Join Deliveroo, a leading food tech company transforming how we shop and eat.
- Benefits: Enjoy healthcare, generous leave, and support for charitable causes.
- Why this job: Make a real impact in a fast-growing start-up with cutting-edge technology.
- Qualifications: Experience in data engineering practices and a collaborative mindset.
- Other info: Be part of a diverse team shaping the future of food delivery.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
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
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.
Senior Data Engineer in City of London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former Deliveroo employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Deliveroo's tech stack. Familiarise yourself with tools like Python, dbt, and Kubernetes. Show us you know your stuff and how you can contribute to our data ecosystem!
✨Tip Number 3
Practice your problem-solving skills! We love candidates who can think on their feet. Try out some coding challenges or data engineering scenarios to get ready for those technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Deliveroo family.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your proficiency in data engineering practices and any relevant technologies like Python or Kubernetes.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to Deliveroo's mission. Share specific examples of past projects that showcase your impact and problem-solving skills.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with data pipelines, automation, and any tools you've used. This is your chance to impress us with your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes straight to the right team!
How to prepare for a job interview at Deliveroo
✨Know Your Data Engineering Tools
Familiarise yourself with the specific tools and technologies mentioned in the job description, like Prefect, Airflow, and Python. Be ready to discuss your experience with these tools and how you've used them to build scalable data systems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your collaborative approach and how you’ve worked with cross-functional teams to deliver impactful solutions.
✨Understand Deliveroo's Mission
Research Deliveroo’s mission and values. Be prepared to discuss how your work as a Data Engineer can contribute to their goal of transforming the way people shop and eat, and how you can help improve their data ecosystem.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the current challenges they face in data engineering and how you can contribute to overcoming them. This shows your genuine interest and proactive mindset.
