National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Intelligence Engineer - Locations considered: London, Paris, Madrid, Milan, Munich, Be[...]

Amazon EU SARL (UK Branch)
London
4 days ago
Create job alert

Business Intelligence Engineer - Locations considered: London, Paris, Madrid, Milan, Munich, Berlin, EU Heavy and Bulky Services, London

Client:

Amazon EU SARL (UK Branch)
Location:

London, United Kingdom
Job Category:

Other
-
EU work permit required:

Yes
Job Reference:

Job Views:

4
Posted:

27.06.2025
Job Description:

Locations considered: London, Paris, Madrid, Milan, Munich, Berlin

Are you interested in building data warehouse and data lake solutions to shape the analytical backbone of the EU Heavy Bulky & Services team? We are hiring a Business Intelligence Engineer to scale up our data projects to the next level. This position requires experience in building Business Intelligence solutions, paired with bringing a hands-on data engineering mentality. We seek individuals that enjoy to collaborate across stakeholders and that bring excellent statistical and analytical abilities to the team.

Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our specific product portfolio. We are looking for a Business Intelligence Engineer to support our European business. This role will work across teams including Product Managers, Tech, Logistics, Finance and Retail. You will be able to display excellent communication skills and stakeholder management, focus on upholding standards and be committed to creative problem solving and getting things done. Our Customer Experience is critical and so you will be truly Customer obsessed.

The successful candidate will have played a leading role in bringing to life analytically derived solutions that have solved large-scale business problems. They will have contributed to the evolution of their team’s analytical practices. Experience of developing automated analytical solutions is preferred.

Key job responsibilities

  • Design, develop and implement scalable data solutions, automate processes and accelerate analytics.
  • Collaborate with other Business Intelligence Engineers on a WW scope and implement data pipelines to automate manual solutions.
  • Develop analytics: deep-dive tools, UIs, metrics, and dashboards.
  • Communicate analytical outputs to stakeholders with a focus on making clear insights and tradeoffs.
  • Propose and prioritize changes to reporting, create additional metrics, own the data presented.
  • Build an expert understanding of technologies and techniques required to build analytical solutions in the Amazon data eco-system.
  • Learn new systems, tools, and industry best practices to help design new studies and build new tools.

    A day in the life
    We dedicate 75% of our time to BI projects, to find solutions for business needs and to optimize internal processes. 15% go to ad-hoc tasks and analyses, the remainder of time to learning, trying out new tools or designing solutions for future projects.

    About the team
    The EU HBS BIEs are a data focused team that drives innovative projects for the Heavy Bulky and Services business. Our mission is to build a best-in-class Customer Experience for our selection.
    BASIC QUALIFICATIONS
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
    PREFERRED QUALIFICATIONS
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

    Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.

    Check our Blog for more information.
    Bank or payment details should not be provided when applying for a job. Eurojobs.com is not responsible for any external website content. All applications should be made via the 'Apply now' button.
    Created on 27/06/2025 by TN United Kingdom

    #J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Engineer II

Business Intelligence Engineer II

Business Intelligence Engineer II

Business Intelligence Engineer

Business Intelligence Engineer

Business Intelligence Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.