Data Engineer II - Scalable Data Pipelines, Vendor Insights

Amazon; Greater London; On-site; GBP 75,000 - 120,000; Full time

Job summary

Amazon EU SARL (UK Branch) is seeking a Data Engineer to design scalable data pipelines for EU AVS and VX programs in London and across locations. You will partner with BIEs, scientists and Product Managers to build reliable data systems, enable ML/AI initiatives, and support analytics at scale.

The role focuses on data architecture, ingestion, validation and cross-functional data readiness for vendor insights. Experience with AWS data tools and large-scale data processing is essential.

Qualifications

• 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.

Responsibilities

• Data Architecture & Pipelines: Design and implement data pipelines and ETL processes to ingest, process, and manage structured and unstructured vendor 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.

Skills

Data modeling

Warehousing

ETL pipelines

SQL

Data Engineer experience

Large-scale data systems

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

NoSQL

Graph DBs

Job description

Amazon EU SARL (UK Branch) is seeking a Data Engineer to design scalable data pipelines for EU AVS and VX programs in London and across locations. You will partner with BIEs, scientists and Product Managers to build reliable data systems, enable ML/AI initiatives, and support analytics at scale.

The role focuses on data architecture, ingestion, validation and cross-functional data readiness for vendor insights. Experience with AWS data tools and large-scale data processing is essential.