Data Engineer, Prime Video Content Analytics & Products

Amazon; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading technology company in Greater London is seeking a Data Engineer for its Prime Video Content Analytics team. The role involves building and optimizing data pipelines, working with diverse data sources, and implementing big-data technologies. Candidates should have experience in software engineering, data engineering, and SQL. This position offers the opportunity to work in a dynamic environment and make a significant impact on data-driven decisions. A diverse and inclusive work culture is prioritized.

Benefits

Equal opportunity employer

Inclusive culture

Workplace accommodations

Qualifications

• Knowledge of professional software engineering practices.
• Experience with data extraction, ingestion, and processing.
• Familiarity with non-relational databases.

Responsibilities

• Build and optimize data pipelines.
• Utilize data for analytics and reporting.
• Implement big-data technologies.
• Analyze business processes and data models.
• Develop and maintain the team's data platform.

Skills

SQL

Data modeling

ETL pipelines

Python

Java

Scala

NodeJS

Big-data technologies

Automated data processing

Tools

Redshift

EMR

Spark

AWS CDK

Kinesis

S3

Job description

Data Engineer, Prime Video Content Analytics & Products

Job ID: 3142743 | Amazon Development Centre (London) Limited

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.

Key job responsibilities

• 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.

About the team

The Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning, configuring, and tracking content launches at every stage of the title lifecycle, from the initial concept through production to post‑launch analysis.

Basic Qualifications

• 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 working on and delivering end‑to‑end projects independently.
• 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.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• 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.
• Experience with SQL.

Preferred Qualifications

• 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 Apache Spark / Elastic Map Reduce.

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our privacy notice 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.