Data Engineer II, EU AVS/VX DNA

Amazon.com, Inc
London, UK
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon S3 Big Data Databases Data Architecture Data Infrastructure Extract Transform Load (ETL) Data Mining Data Stores Data Systems Distributed Systems Graph Database
+9 more
Identity and Access Management Machine Learning Standard Sql Software Engineering Electronic Medical Records AWS Glue Non-relational Database Data Pipelines Amazon Redshift

Job description

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 15+ Product Managers. As a Data Engineer, you will design, develop, and maintain highly scalable data pipelines and storage solutions to support advanced analytics, machine learning (ML), and artificial intelligence (AI) initiatives. You will be instrumental in ensuring the availability, reliability, and scalability of data systems that drive insights and actions for the team., * Data Architecture & Pipelines: Design and implement data pipelines and ETL processes to ingest, process, and manage structured and unstructured vendor feedback data at scale.

  • Collaborative Development: Partner with BIEs and scientists to provide clean, production-ready datasets.
  • Scalable Solutions: Build and optimise data infrastructure to support the processing of structured and unstructured vendor data.
  • Insights & Reporting: Create robust systems for monitoring and reporting on key metrics, enabling cross-functional teams.
  • Automation: Automate processes for data collection, validation, and transformation to improve efficiency and accuracy across global vendor touchpoints.

Requirements

  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience as a Data Engineer or in a similar role
  • Experience building large-scale, high-throughput, 24x7 data systems, * 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 with software development lifecycle, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

About the company

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 Retail 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., 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 (en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates., Amazon EU SARL (UK Branch)

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