Data Engineer, Prime Video Core Analytics and Tooling
Job ID: 3139902 | Amazon Digital UK Limited
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast‐paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
The team owns a global data platform that powers analytics and data science within Prime Video. Building on AWS cloud technology and processing some eye‐watering volumes of relational data, our team is passionate about the security, latency and usability of our products. Abstracting complexity from the analytics community, so they can more rapidly innovate on behalf of our customers.
Key job responsibilities
You'll solve data warehousing problems on a massive scale and apply cloud‐based AWS services to solve challenging problems around big data processing, data warehouse design, self‐service data access, automated data quality detection and building infrastructure as a code.
You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.
You'll work closely with global business partners and technical teams on many non‐standard and unique business problems and use creative problem solving to deliver data products that underpin Prime Video strategic decision making, from content selection to on‐platform customer experience.
You'll develop efficient systems and tools to process data, using technologies that can scale to seasonal spikes and easily accommodate future growth. Your work will have a direct impact on the day‐to‐day decision making across Prime Video.
Basic Qualifications
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 of 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 & 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 as a Data Engineer or in a similar role
Experience with SQL
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience working on and delivering end to end projects independently
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.
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: December 15, 2025 (Updated 8 days ago)
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