Amazon Data Services UK Ltd

Data Engineer, Data Solutions & Engineering, Secur...

Job description

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
  • 5+ years of experience in Data Engineering, BI Engineer, or related field in Architecting and developing end to end scalable data applications and data pipelines.
  • 4+ years of hands on experience in building big data solution using EMR/Elastic Search/Redshift or equivalent MPP database.
  • 2+ years of coding experience with modern programming or scripting language (Python, Scala, Java).
  • 2+ years of experience in advanced SQL and query performance tuning skills.
  • Database design and administration experience with one RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc.
  • Participate in data strategy and road map exercises, data warehouse design and implementation.
  • Develop strong collaborative relationships with key partners in data engineering, business intelligence, software development, finance, modelling and product teams.
  • Demonstrated strength and experience in data modelling, ETL development and data warehousing concepts.
  • Hands-on experience in working with any reporting/visualization tools in the Industry.
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing.
  • Knowledge of distributed systems as it pertains to data storage & computing.

Job summary
At Amazon, Security is our highest priority. The Security team is responsible for the security of services offered by Amazon. The Secure all the Things (SAT2) team is responsible for driving innovative enhancements that raise the bar for how employees interact with resources, systems, and data. At scale, we must invent new security tools to enable system administrators and developers to build rapidly, while maintaining least privileged access.

The successful candidate is one who loves working with engineering and business teams across an entire organization to understand their needs, and work with data professionals to design and build solutions that enable our teams to more quickly and effectively access our data. You are passionate about the data and you want to solve real business problems.

As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with Amazon tools and services to support a variety of customer use cases/applications.

In this role, you have the opportunity to:
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Contribute to the architecture and implementation of next generation data and BI solutions from the ground up.
  • Manage Amazon resources including Redshift, S3, EC2, Athena, Glue, etc.
  • Optimize automated processes for performance and fault tolerance.
  • Optimize support for ad-hoc analysis across various data sources
  • Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.
  • Make large and/or complex data more accessible, understandable and usable by applications and teams.

About Us

Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

  • Meets/exceeds Amazon’s leadership principles requirements for this role.
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role.
  • 5 to 7 years of experience as a Data Engineer, BI Engineer, or related field in a company with large, complex data sources.
  • Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda) or equivalent industry tools.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
  • Experience on working with different SQL/NOSQL databases.
  • Knowledge on data lake platform and difference technologies used in data lake to retrieve and process the data.

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 ( to know more about how we collect, use and transfer the personal data of our candidates.

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