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For Companies At a Glance
- Tasks: Join our Analytics Engineering team to create clean, well-documented data sets for data scientists and business users.
- Company: Deliveroo is revolutionising food delivery, making it more convenient and accessible through cutting-edge technology.
- Benefits: Enjoy great perks like health support, flexible work options, and opportunities for personal growth.
- Why this job: Make a real impact in a fast-growing start-up while developing your skills in a dynamic environment.
- Qualifications: 3+ years in Analytics/Data Engineering, excellent SQL skills, and knowledge of cloud-based data warehousing.
- Other info: We celebrate diversity and welcome all backgrounds; just bring your passion for food!
The predicted salary is between 36000 - 60000 £ per year.
Why Deliveroo?
We\’re building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We obsess about building the future of food, whilst using our network as a force for good. We\’re at the forefront of a 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 a definitive career, motivated 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
Working as part of our Analytics Engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker.
You\’ll work with product engineering teams to ensure modelling of source data meets downstream requirements.
You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets.
You\’ll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker.
You will be responsible for optimisation and further adoption of Looker as a data product in the business, catering to ~1500 current active users who need to discover and interact with data.
Skillset
Required
Nice to have
Workplace & Diversity
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation.
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.
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Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, especially Snowflake and Looker. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Network with current or former employees of Deliveroo on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Analytics Engineer role.
✨Tip Number 3
Prepare to discuss specific projects where you've used SQL and data modelling concepts. Be ready to explain your thought process and how your contributions led to successful outcomes, as this will demonstrate your practical experience.
✨Tip Number 4
Showcase your passion for data and food by discussing any personal projects or interests that align with Deliveroo's mission. This can help you stand out as a candidate who not only has the skills but also shares the company's values.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Analytics Engineering, Data Engineering, or BI Engineering. Emphasise your SQL skills and any experience with cloud-based data warehousing like Snowflake or BigQuery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the food industry and how you can contribute to Deliveroo's mission. Mention specific projects or experiences that demonstrate your ability to provide clean and well-documented datasets.
Showcase Technical Skills: Clearly outline your technical skills related to SQL, data modelling, and any experience with BI tools like Looker. If you have Python coding skills or experience with ETL/ELT processes, make sure to include those as well.
Highlight Team Collaboration: Deliveroo values teamwork, so mention any experiences where you've collaborated with product engineering teams or data scientists. Showcase your ability to work in a team to achieve common goals, especially in optimising data products.
How to prepare for a job interview at Deliveroo
✨Showcase Your SQL Skills
As an Analytics Engineer, your SQL skills are crucial. Be prepared to discuss specific projects where you've used SQL to solve problems or improve processes. Highlight any complex queries you've written and how they contributed to the success of a project.
✨Understand Data Modelling Concepts
Make sure you can explain data modelling concepts clearly. Discuss how you've structured new data tables in previous roles and how this has impacted downstream users. Being able to articulate your thought process will demonstrate your expertise.
✨Familiarise Yourself with Looker
Since Looker is a key tool for this role, it’s beneficial to have a solid understanding of its functionalities. If you have experience developing in Looker, prepare to share examples of how you've optimised data visualisation for users.
✨Emphasise Collaboration Skills
This role involves working closely with product engineering teams and data scientists. Be ready to discuss how you've collaborated in the past, particularly in terms of ensuring that data models meet requirements and how you’ve communicated technical concepts to non-technical stakeholders.
