Security Data Engineer

In this role you will design and build a security analytics platform on AWS, creating a data lake and automated reporting pipelines to illuminate cyber risk and control performance. You will own end-to-end data engineering, from data ingestion to dashboards, enabling leadership to understand security telemetry. You’ll work across security, cloud, infrastructure and identity teams to deliver a scalable platform that turns complex data into actionable metrics. This is a hands-on, platform-building opportunity in a security-focused fintech environment.

• pension contributions
• private medical and dental cover
• 25 days’ annual leave
• three additional life days
• hybrid work arrangement (London office ~2 days/week)

• Design and implement an AWS-based security analytics platform including a data lake and reporting pipelines
• Develop pipelines using Python and SQL to ingest, transform, and load security telemetry
• Build dashboards and metrics to illustrate cyber risk and control performance for leadership
• Establish trusted data models and data quality controls across security, cloud, infrastructure and identity sources
• Collaborate with cross-functional teams to shape platform requirements and delivery
• Operate and maintain the data platform, ensuring reliability, security and scalability

• Hands-on experience building and operating AWS data platforms
• Strong data engineering background, especially in security contexts
• Experience with Python and SQL for pipeline development
• Understanding of security datasets and telemetry
• Capability to work across security, cloud, infrastructure and identity domains
• Background in either data engineering within a security function or security engineering with data-platform delivery

• Cross-functional collaboration
• Problem solving and analytical mindset
• Proactive, results-oriented
• AWS data platform architecture
• Python
• SQL