Data Engineer, EU AVS/VX DNA

Description

The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on Amazon, contributing directly to our long-term strategy.

Amazon’s mission is to be Earth’s most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that exceed expectations. The EU AVS programme provides industry-leading account management services to vendors, optimising cost-to-serve and expediting their growth. The WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programmes are essential inputs for improving the end-customer experience and Amazon’s long-term free cash flow.

Key job responsibilities

This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while working closely with BIEs, scientists and 20+ Product Managers. As a Data and Applications Engineer, you will design, develop, and maintain scalable data pipelines and storage solutions to support analytical initiatives. Furthermore, you will build datasets and AI-powered applications to serve the analytical needs of AVS Growth Services including ProServe, a new retail consulting initiative for EU vendors.

Your Primary Responsibilities Will Include

• Design and implement data pipelines and ETL processes to ingest, process, and manage structured and unstructured data at scale.
• Partner with PMs, BIEs and scientists to provide clean, production-ready datasets.
• Build and optimise data infrastructure to support the processing of structured and unstructured data.
• Automate processes for data collection, validation, and transformation to improve efficiency and accuracy across global vendor touchpoints.
• Build AI-enabled applications that empower both tech and non-tech data consumers at delivering bespoke insights.

Basic Qualifications

• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience as a Data Engineer or in a similar role
• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience working on and delivering end to end projects independently
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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.

Company - Amazon EU SARL (Spain Branch) - C16

Job ID: A3182402