[New Job Opening] Senior Business Intelligence Engineer, Data Solutions & Engineering, Security job Vacancy in Amazon Dev Centre (London) Ltd, London

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Job Details:
Company name : Amazon Dev Centre (London) Ltd
Position Name :
Senior Business Intelligence Engineer, Data Solutions & Engineering, Security
Location:
London
Job ID :
c293fc88375ed539
Description : Bachelor’s Degree in Engineering, Mathematics, or related field, or equivalent professional experience
4+ years of relevant work experience in ETL, data science, business analytics, or comparable experience
Led the delivery of at least one automated data solution that met customer expectations
Led the delivery and operational support of at least one automated data solution on a cloud platform
Computer Science fundamentals in data structures
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Proficient with data warehouse best practices and terminology
Proficient with at least one modern programming language, such as C, C++, C#, Java, Python, Rust, or Go
Proficient at drawing insights from data and communicating analyses that affect business prioritization.
Self-driven leader that delivers with minimal project definition and incomplete or dirty data
Job summary
Do you want to build a security platform that provides a data-driven experience for Amazon engineers and raises the security bar for Amazon customers? At Amazon, security is our highest priority and the our Vulnerability Management (AVM) team is responsible for defining and driving large software security initiatives across Amazon. We are looking for an engineer that will automate all business metrics, analyze all aspects of our business, and provide recommendations that directly affect Amazon vulnerability management priorities.
About Us
Our organization is accountable for the end-to-end software vulnerability lifecycle across all aspects of Amazon. We are responsible for building the platform that monitors intelligence, detects vulnerabilities, drives remediation response, and drives innovation to meet the scale and demand of all AWS customers. Working with teams such as EC2, S3, RDS, CloudHSM, Containers, and Amazon Linux requires us to dive deep into all aspects of first- and third-party software across Amazon including Operating Systems, firmware, databases, service/system hardening, cryptography, and audit analysis. We are passionate about diving in at any depth to identify and build solutions that keep our customers safe.
About You
We expect that you are as passionate about finding and prioritizing areas of improvement that keep our customers safe as we are. As the subject matter expert, you own the automation of the authoritative datasets that facilitate business analysis and track business performance. You have a track record of using those datasets and insights to work directly with business and product teams to drive change within your business. You can work directly with business owners and program managers to translate ambiguous situations into technical implementations that deliver business recommendations that exceed the expectation of your business partners.
You understand that automation is key to your success and constantly find techniques to ensure automation and derived datasets are a feature of all your data activities. However, you recognize that there is a balance between the construction of new insights versus delivering automation for others to construct new insights. Delivering tools that your team can use to perform analysis and replicate findings, allows you to scale business analysis to subject matter experts and expedites your ability to continuously deliver automated metrics and insights. We want you because you have a relentlessly high bar when solving hard data-driven problems at scale and relish the opportunity to challenge the norm.
About the team
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.
MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or equivalent professional experience
Experience influencing software engineering, data processing, and data security best practices
Experience taking the lead to coordinate multiple technical teams to deliver on your behalf to get the data required to inform stakeholders and affect business strategy
Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience delivering a system that delivers an integrated experience across real-time and batch insights
Experience conducting data analysis that cannot be conducted on a single host
Experience using AWS technologies such as EC2, S3, Redshift, EMR, Glue, Athena, and SageMaker
Meets/exceeds Amazon’s functional/technical depth and complexity for this role
All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a relevant criminal check.
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.
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