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For Companies At a Glance
- Tasks: Join our Analytics Engineering team to enhance data and analytics platforms.
- Company: Deliveroo connects consumers with restaurants, shops, and riders for convenient shopping and dining.
- Benefits: Enjoy a dynamic work environment with opportunities for personal growth and innovation.
- Why this job: Make a real impact in a fast-growing startup while working on exciting tech challenges.
- Qualifications: Proficiency in SQL and Python, plus experience in data governance and agile practices.
- Other info: We celebrate diversity and welcome all passionate individuals to apply.
The predicted salary is between 36000 - 60000 £ per year.
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 play a pivotal role in shaping and running Deliveroo\’s data and analytics platforms. Your focus will be on ensuring our BI solutions empower analysts, data scientists, engineers, and business teams to work faster, smarter, and with greater impact.
Your initial priority will be the ongoing development and optimisation of our Looker platform. From there, you\’ll contribute to shaping our wider BI strategy, exploring and adopting emerging technologies such as conversational analytics, AI-powered insights, and tools that enhance data discovery, literacy, and overall governance.
However, as an Analytics Platform Engineer, you\’ll also have opportunities to contribute across the wider data platform. This may involve designing and maintaining infrastructure, working on our low-latency data pipelines, building automated solutions, and contributing to technical design discussions and reviews — all while broadening your engineering skill set and collaborating closely with colleagues across the team.
This is a hands-on engineering role, with a blend of technical delivery, platform ownership, and user enablement. Success means creating a reliable, high-performing, and forward-looking BI ecosystem that helps everyone at Deliveroo unlock the full potential of our data.
Key Responsibilities
- Develop, enhance, and optimise BI platforms, with an immediate focus on Looker
- Own system administration, configuration, and performance monitoring to ensure resilience and scalability
- Support users with technical troubleshooting, enablement, and best practices for self-service analytics
- Contribute to the evolution of our BI strategy, adopting innovative AI-driven tools to improve decision-making and data accessibility
- Partner with analysts, analytics engineers, and data scientists to understand their needs and deliver impactful platform solutions
- Contribute to the wider engineering function through technical design reviews, peer code reviews, 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:
- Extensive experience with BI platforms (Looker desirable, but not essential if transferable)
- Technical skills in areas such as SQL, Python, data modelling, and platform administration
- A user-first mindset: motivated by enabling others to be more effective with data
- Curiosity and adaptability, with a passion for exploring new technologies including AI-powered analytics
- A collaborative approach and the ability to work across diverse teams with varying data needs
- 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.
Analytics Platform Engineer employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Platform Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and analytics platforms. Being able to discuss current best practices and innovations during your interview will show that you're proactive and knowledgeable about the field.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project or contributing to open-source projects to demonstrate your proficiency and practical experience with these languages.
✨Tip Number 3
Network with current or former employees of Deliveroo, especially those in the Analytics Engineering team. They can provide valuable insights into the company culture and the specific challenges faced in the role, which you can reference in your discussions.
✨Tip Number 4
Prepare to showcase your problem-solving skills by thinking of examples where you've optimised processes or resolved incidents in previous roles. This will help you illustrate your ability to handle the responsibilities outlined in the job description.
We think you need these skills to ace Analytics Platform Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Analytics Platform Engineer position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Technical Skills: Emphasise your proficiency in SQL and any programming languages you know, especially Python. Provide specific examples of how you've used these skills in previous roles or projects to demonstrate your capability.
Showcase Relevant Experience: If you have experience with data governance, agile software development, or building scalable analytics capabilities, make sure to include this in your CV and cover letter. Use quantifiable achievements to illustrate your impact in past positions.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role at Deliveroo but also reflects your understanding of their mission. Mention how your background and skills can contribute to their goals, particularly in enhancing data and analytics platforms.
How to prepare for a job interview at Deliveroo
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and any programming languages you know, especially Python. Be prepared to discuss specific projects where you've used these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand Data Governance
Familiarise yourself with data governance concepts, including data cataloging, quality, GDPR, and data retention. Being able to discuss these topics will show that you understand the importance of data management in a company like Deliveroo.
✨Emphasise Collaboration
Since the role involves working with analysts, data scientists, and engineers, be ready to share examples of how you've successfully collaborated in past projects. Strong communication and teamwork skills are essential, so illustrate your ability to work well with others.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss how you've approached challenges in previous roles, particularly in relation to system administration, configuration, or incident resolution. Show that you can think critically and act quickly to resolve issues, which is crucial in a fast-paced environment.