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# Data Engineer, Prime Video Content Analytics & Products

- **Company:** Amazon.com, Inc
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data Analysis, Big Data, Cloud Computing, Code Review, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Stores, Relational Databases, Graph Database, Identity and Access Management, Logical Data Models, Software Architecture, Amazon Simple Notification Service (SNS), Software Engineering, SQL Databases, Data Streaming, Automated Data Processing (ADP), AWS Cdk, Data Processing, Apache Spark, Electronic Medical Records, AWS Glue, Non-relational Database, Software Coding, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Amazon Redshift
- **Published:** September 16, 2026
- **Apply:** https://dejobs.org/x/x/5C850C9E8B4740F69D35A52D8D32074F/job/

## About the 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
 * 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
 * Experience with data modeling, warehousing and building ETL pipelines
 * Experience working with or evaluating AI 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)

## Description

You will have the chance to work with large volumes of data and enjoy the challenge of highly complex technical contexts. We are looking for experience within data modeling, ETL design and cloud/big-data technologies, and for someone who passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale impact., * Build and optimize data pipelines to ingest and transform data from various sources, including traditional ETL pipelines and event data streams

 * Utilize data from disparate sources to build meaningful datasets for analytics and reporting, focusing on consolidating data from various Prime Video systems
 * Implement big-data technologies (e.g., Redshift, EMR, Spark, SNS, SQS, Kinesis) to optimize processing of large datasets
 * Develop and maintain the team's data platform, including infrastructure-as-code using AWS CDK.
 * Work closely with business stakeholders to understand their needs and translate them into technical solutions
 * Analyze business processes, logical data models, and relational database implementations
 * Write high-performing SQL queries
 * Design and implement automated data processing solutions and data quality controls.
 * Collaborate with software engineers to support the data needs of products
 * Participate in on-call rotations to support the team's products and data pipelines
 * Optimize data processing and storage solutions to improve performance and reduce costs