At a Glance
- Tasks: Design and build scalable data pipelines for Amazon's EU Books analytics.
- Company: Join Amazon, a global leader in e-commerce and technology.
- Benefits: Competitive salary, health benefits, and opportunities for career advancement.
- Other info: Work in a dynamic environment with a focus on innovation.
- Why this job: Be part of a team transforming data into actionable insights with AI.
- Qualifications: Experience in data engineering and strong problem-solving skills.
The predicted salary is between 70000 - 90000 £ per year.
Why Here? Amazon EU Books serves millions of customers across European markets with one of the world’s largest book selections, spanning Kindle, print, and audiobook formats. The EU Books BI and Data Engineering team is transforming from a traditional reporting function into an AI‑enabled decision intelligence engine. This team builds the data foundation that powers self‑service analytics, predictive models, and domain‑specific AI applications across the EU Books organization.
What Will You Do? As a Sr. Data Engineer, EU Books Analytics and Engineering at Amazon, you will own and evolve team‑level data architecture across ingestion, transformation, storage, serving, and monitoring for multiple EU marketplaces. You will design scalable self‑healing data pipelines that integrate business signals from demand, pricing, and customer behavior sources. You will also build automated data quality frameworks and measurement infrastructure for business experiments to deliver reliable model‑ready datasets.
London, United Kingdom On-site Amazon Sr. Data Engineer, EU Books Analytics and Engineering employer: Experimentation Jobs
At Amazon, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Sr. Data Engineer in London, you will be at the forefront of transforming data into actionable insights, with ample opportunities for professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and the collaborative environment that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land London, United Kingdom On-site Amazon Sr. Data Engineer, EU Books Analytics and Engineering
✨Tip Number 1
Network like a pro! Reach out to current or former Amazon 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 Amazon's data engineering practices. Brush up on your knowledge of data pipelines, AI applications, and self-service analytics. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s on GitHub or a personal website, having a portfolio of your work can set you apart. It’s a great way to demonstrate your skills in building scalable data solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace London, United Kingdom On-site Amazon Sr. Data Engineer, EU Books Analytics and Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Sr. Data Engineer role. Highlight your experience with data architecture, pipelines, and any AI-related projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about the opportunity at Amazon EU Books. Share specific examples of how your background makes you a great fit for transforming data into actionable insights.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Include relevant programming languages, tools, and frameworks you’ve used in data engineering. We want to see how you can contribute to building scalable data solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Experimentation Jobs
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Understand concepts like data ingestion, transformation, and storage, as well as the tools commonly used in these processes. Being able to discuss these topics confidently will show that you're ready to take on the responsibilities of the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed scalable data pipelines or automated data quality frameworks. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your experience and how it aligns with what Amazon is looking for.
✨Familiarise Yourself with AI and Analytics
Since the team is transforming into an AI-enabled decision intelligence engine, it's crucial to understand how AI can enhance data analytics. Brush up on relevant AI applications and be ready to discuss how you've used or could use AI in your previous projects to improve data processes.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the team’s current projects or challenges they face. This shows your genuine interest in the role and helps you gauge if the company culture and work align with your career goals.
