🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Business Intelligence Engineer, Supply Chain, EU Supply Chain Engineering Job ID: 10489286 | Amazon EU Sarl Description Role Overview Amazon Supply Chain forms the backbone of the fastest growing ecommerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company” makes the customer fulfillment business bigger and more complex with each passing year. The SC Engineering, EThOS team builds tech solutions for cross-functional Supply Chain & Under-The-Roof business problems. We work closely with Global Tech teams such as Supply Chain Optimization Technology (SCOT) and AFT (Amazon Fulfillment Technologies) teams in North America, who own Buying, Placement, UTR systems that control the flow of inventory across our network and processing within our Fulfillment Centers. Our internal stakeholders are EU ACES, Supply Chain Execution, across all three miles, GOX, Fulfillment Optimization, Inbound & Inventory Placement. If you are someone who has is interested & shown success in analyzing, diving deep in complex data, building models & tech artifacts that improve business processes and pioneering new ways to do things, we'd like to talk to you. Responsibilities Within our team, you will get the opportunity to work closely with Software Engineers, Applied Scientists and Data Engineers to build models, data solutions and automation of planning processes. You will be involved in the development of critical tech initiatives that will allow us to offer best possible speed and delivery promise to our customers while incurring the lowest cost to serve, About the team Supply Chain Engineering is team within EThOS (ACES) org that delivers tech solutions to complex cross-functional business problems. Basic Qualifications - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience with SQL - Experience in the data/BI space Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.