Data Engineer, Prime Video Core Analytics and Tooling

Data Engineer, Prime Video Core Analytics and Tooling

Job  | Amazon Digital UK Limited

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies, with content discovery designed to help fans find what they love to watch. Prime Video is a fast-paced, growth business available in over 240 countries and territories. The team owns a global data platform that powers analytics and data science within Prime Video, built on AWS cloud technology to process large volumes of relational data.

The team focuses on security, latency and usability of products while abstracting complexity from the analytics community to enable rapid innovation.

• Solve data warehousing problems at scale and apply cloud-based AWS services to address big data processing, data warehouse design, self-service data access, automated data quality detection, and building infrastructure as code. Contribute to automation and optimization for all areas of DW/ETL maintenance and deployment.
• Collaborate with global business partners and technical teams on non-standard and unique business problems, delivering data products that underpin Prime Video strategic decision making, from content selection to on-platform customer experience. Develop efficient systems and tools to process data that scale with seasonal spikes and future growth, with a direct impact on day-to-day decision making across Prime Video.

• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience building/operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets
• Experience with data modeling, warehousing and building ETL pipelines
• Knowledge of distributed systems as it pertains to data storage and computing
• Knowledge of professional software engineering and best practices for full software development lifecycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience as a Data Engineer or in a similar role
• Experience with SQL

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
• Experience delivering end-to-end projects independently

Amazon is an equal opportunities employer. We believe 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 to learn more about how we collect, use and transfer personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Posted: January 29, 2026 (Updated 6 days ago)

Posted: September 26, 2025 (Updated 2 months ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.