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 a seamless shopping experience.
- Benefits: Enjoy autonomy, ownership, and the chance to innovate in a fast-paced environment.
- Why this job: Make a real impact on data-driven decisions while exploring exciting questions about consumer behaviour.
- Qualifications: Familiarity with SQL, programming (Python preferred), and data governance is a plus.
- Other info: We embrace diversity and welcome all passionate individuals to apply.
The predicted salary is between 36000 - 60000 £ per year.
Why Deliveroo?
Our mission is to transform the way you shop and eat by connecting consumers, restaurants, shops, and riders, bringing the neighborhood to your door. We aim to make access to food and products more convenient and enjoyable, allowing people to buy what they want, when and where they want it.
As a technology-driven company leading a rapidly expanding industry, we are a small team making a large impact. We value autonomy, ownership, and new ideas, and we move fast to innovate.
The Role
As part of the Analytics Engineering team, your role will involve implementing, maintaining, and supporting our data and analytics platforms and tools. You will enable analysts, data scientists, engineers, and other users with self-service tools to work more efficiently and effectively.
You will build services across the platform, monitor and support our capabilities, with a focus on platform governance, monitoring, and onboarding.
Key responsibilities include developing new features, systems administration, monitoring, user support, technical optimization, and incident resolution.
Skillset
We do not expect you to meet all the criteria, but experience in some of the following areas is desirable:
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Working knowledge of SQL and at least one other programming language (preferably Python)
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Experience with data governance projects such as data cataloging, data quality, GDPR, and data retention
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Knowledge of modern, agile software development practices
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Understanding of delivering analytics capabilities at scale
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Excellent communication and collaboration skills
Life at Deliveroo
We are a growing team with significant impact, seeking to answer challenging questions about data, technology, and consumer behavior. We move quickly, encourage new ideas, and are transparent about our decisions.
We explore questions like how data can help restaurants grow and how to predict customer orders before they are even thought of. At Deliveroo, there are no fixed solutions—your growth and impact are boundless.
Diversity
We value diversity and inclusivity, welcoming individuals regardless of gender, race, sexuality, religion, or personal preferences. All you need is a passion for food and a desire to be part of one of the fastest-growing startups.
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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 Deliveroo's mission and values. Understanding how they connect consumers, restaurants, and riders will help you align your skills and experiences with their goals during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your ability to implement data solutions.
✨Tip Number 3
Network with current or former employees of Deliveroo. Engaging with them can provide insights into the company culture and the specific challenges faced by the Analytics Engineering team.
✨Tip Number 4
Prepare to discuss your experience with data governance and analytics capabilities. Be ready to share examples of how you've contributed to similar projects in the past, highlighting your problem-solving skills.
We think you need these skills to ace Analytics Platform Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills for the Analytics Platform Engineer position. Tailor your application to highlight relevant experiences that align with these requirements.
Showcase Technical Skills: Emphasise your experience with SQL and any programming languages you know, particularly Python. Provide specific examples of projects or tasks where you've applied these skills, especially in data governance or analytics.
Highlight Collaboration Experience: Since the role involves working with analysts, data scientists, and engineers, include examples of past teamwork. Describe how you contributed to group projects and how your communication skills helped achieve common goals.
Express Your Passion: Convey your enthusiasm for food and technology in your application. Mention why you want to work at Deliveroo and how you can contribute to their mission of transforming the way people shop and eat.
How to prepare for a job interview at Deliveroo
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python. Bring examples of projects where you've implemented data governance or analytics capabilities, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand Deliveroo's Mission
Familiarise yourself with Deliveroo's mission to transform shopping and eating experiences. Be ready to articulate how your skills can contribute to this mission, especially in terms of enhancing data accessibility and user efficiency.
✨Emphasise Collaboration
Highlight your communication and collaboration skills during the interview. Discuss past experiences where you worked effectively within a team, as Deliveroo values autonomy but also relies on strong teamwork to innovate and solve problems.
✨Prepare Questions About the Role
Have thoughtful questions ready about the Analytics Engineering team and the specific challenges they face. This shows your genuine interest in the position and helps you assess if it's the right fit for you.