At a Glance
- Tasks: Design and build scalable data pipelines for analytics and AI applications.
- Company: Join Amazon, a leader in innovation and customer service.
- Benefits: Competitive salary, flexible work options, and career development opportunities.
- Other info: Dynamic environment with opportunities to work on impactful projects.
- Why this job: Be part of a transformative team shaping the future of book analytics.
- Qualifications: Experience in data engineering and a passion for AI technologies.
The predicted salary is between 60000 - 80000 £ 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.
Senior Data Engineer — EU Books Analytics & AI Platforms employer: Experimentation Jobs
At Amazon, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Senior Data Engineer in the EU Books Analytics & AI Platforms team, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals who are passionate about transforming data into actionable insights. With a strong focus on employee growth and development, we offer numerous training programmes and career advancement opportunities, making Amazon an exceptional employer for those seeking meaningful and rewarding employment in a vibrant European market.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — EU Books Analytics & AI Platforms
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amazon, especially in the EU Books team. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving AI and analytics. We want to see how you’ve tackled real-world problems.
✨Tip Number 3
Get ready for the interview! Brush up on your technical skills and be prepared to discuss your experience with data pipelines and architecture. We need to see that you can think on your feet!
✨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 the initiative to go directly to the source.
We think you need these skills to ace Senior Data Engineer — EU Books Analytics & AI Platforms
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 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 passionate about data engineering and how you can contribute to our mission at Amazon EU Books. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t forget to include relevant technical skills in your application. Mention your experience with data ingestion, transformation, and storage technologies, as well as any tools you've used for building automated data quality frameworks.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at Experimentation Jobs
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data ingestion, transformation, and storage. Be ready to discuss how you’ve designed scalable data pipelines in the past and how you approach building automated data quality frameworks.
✨Showcase Your AI Knowledge
Since the role involves AI applications, make sure you can talk about your experience with AI and machine learning. Prepare examples of how you've integrated AI into data processes or how you've used predictive models to drive business decisions.
✨Understand Amazon's Culture
Familiarise yourself with Amazon's leadership principles. Think of examples from your past work that demonstrate how you embody these principles, especially around customer obsession and delivering results. This will show that you’re a good cultural fit.
✨Prepare Questions for Them
Have insightful questions ready about the team’s current projects or challenges they face in transforming their data architecture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
