At a Glance
- Tasks: Design and build scalable data pipelines for Prime Video's strategic decision making.
- Company: Join Amazon's innovative Prime Video Finance BI team.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on data infrastructure in the entertainment industry.
- Qualifications: Experience in data engineering and modern programming languages required.
The predicted salary is between 60000 - 80000 £ per year.
Amazon’s Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch from popular Amazon Original TV shows to Original Movies. Prime Video is at the forefront of the entertainment industry and growing fast, now available in more than 240 countries and territories worldwide.
The Prime Video Finance BI team is looking for a Data Engineer to help power the data infrastructure behind Prime Video's strategic and financial decision making. In this role, you will design and build scalable data pipelines and warehouse solutions that underpin business-critical reporting used by leadership worldwide. You'll partner with upstream technical teams to architect complex data ingestion frameworks for high-priority data sources, and collaborate with Finance and Business stakeholders to translate ambiguous business challenges into well-engineered, automated data solutions.
Your work will directly enable the KPIs, metrics, and analytics that drive Prime Video's content and customer experience strategy forward.
Key job responsibilities:- Design, build, and maintain large-scale data warehouse architectures and ETL/ELT pipelines that serve hundreds of users globally, ensuring high availability, performance, and data integrity.
- Apply cloud-based AWS services (Redshift, Glue, EMR, S3, Lambda, Step Functions) to solve challenging problems around big data processing, data warehouse design, and self-service data access.
- Develop automated data quality detection frameworks and monitoring systems to ensure data accuracy, completeness, and timeliness across critical datasets.
- Build and maintain infrastructure as code (CloudFormation, CDK, Terraform) to enable repeatable, version-controlled deployment of data platform resources.
- Gather technical and business requirements from stakeholders in Finance and Business teams, and translate them into scalable, automated, and well-engineered data solutions.
- Develop efficient systems and tools to process data at scale, using technologies that accommodate seasonal spikes and future growth.
- Drive automation and optimization across all areas of DW/ETL maintenance, deployment, and operational excellence.
- Build strong partnerships with Business Intelligence, Core Analytics Tooling, and upstream data teams to enhance data sources, improve data models, and enable more scalable and accurate downstream reporting.
- Provide technical guidance on data modeling best practices, pipeline design patterns, and platform capabilities to support informed 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 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.
- 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.
Data Engineer, Prime Video Finance BI Team in London employer: Amazon’s Prime Video
At Amazon's Prime Video Finance BI Team, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Data Engineer, you'll have the opportunity to work with cutting-edge technologies in a fast-paced environment, while also benefiting from extensive professional growth opportunities and a commitment to diversity and inclusion. Join us in shaping the future of entertainment and enjoy the unique advantage of being part of a global leader in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Prime Video Finance BI Team in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amazon, especially in the Prime Video Finance BI team. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for your interview by brushing up on your technical skills. Make sure you can talk confidently about data pipelines, AWS services, and any big data technologies you've worked with. We want to see your passion for data engineering!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss specific challenges you've faced in previous roles and how you tackled them. This is your chance to shine and demonstrate your ability to innovate.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at Prime Video!
We think you need these skills to ace Data Engineer, Prime Video Finance BI Team in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS technologies and data pipeline design, as these are key for us at Prime Video Finance BI Team.
Showcase Your Projects:Include specific projects where you've built scalable data solutions or worked with big data technologies. We love seeing real examples of your work that demonstrate your problem-solving skills!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities to make it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with Prime Video.
How to prepare for a job interview at Amazon’s Prime Video
✨Know Your Data Tools
Familiarise yourself with the specific AWS services mentioned in the job description, like Redshift and Glue. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the technologies that power Prime Video's data infrastructure.
✨Showcase Problem-Solving Skills
Prepare examples of complex engineering problems you've solved, especially those involving large-scale data processing. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Understand Business Needs
Research Prime Video's business model and current challenges in the entertainment industry. Be ready to discuss how your data solutions can directly support their strategic goals, demonstrating that you can bridge the gap between technical and business requirements.
✨Practice Coding and Design Questions
Brush up on your coding skills, particularly in Python or Java, and be prepared for technical questions related to data modelling and ETL pipeline design. Practising common coding challenges and system design scenarios will help you feel more confident during the technical portion of the interview.
