Wayve Security Analyst at Wayve building scalable data and automation capabilities for the security programme. Design data pipelines, models, and automations to transform security data into actionable insights.
Responsibilities
As our security programme grows, we need a scalable way to measure control effectiveness, automate evidence collection, and provide continuous visibility into our security posture.
As our Security Analyst, you’ll join the Security team and build the data and automation capabilities that underpin our security programme. You’ll work across Security to design scalable data pipelines, data models, integrations, and automations that transform security data into insights that inform decision making. Your work will enable better operational decision making, reduce manual effort, and strengthen our ability to support customer, auditor, and regulatory commitments.
You’ll help make security governance continuous. You’ll partner with Security Engineering, IT, and Engineering teams to automate evidence collection, measure control effectiveness, and establish the foundations for a data-driven security programme.
This is a rare opportunity to build Wayve’s security analytics capability from the ground up. You’ll define the architecture, data models, and automations that become the foundation for how we measure and improve security.
We’d love to hear from you if you’re motivated by replacing manual processes with scalable engineering solutions and believe security data should be automated, continuously available, and actionable.
Build our security data platform
Design, build, and maintain scalable data pipelines that collect, transform, and enrich security data from systems across our business.
Integrate data from identity, cloud, engineering, and security platforms to create a unified view of Wayve’s security posture.
Build robust data models that provide high fidelity datasets for security analytics, operational reporting, and measuring control effectiveness.
Design analytics products and visualisations that provide meaningful insights into the health, maturity, and performance of the security programme.
Ensure data quality, lineage, reliability, observability, and maintainability across our security analytics platform.
Drive automation and continuous assurance
Qualification
Experience working within cybersecurity
Required
Experience designing and operating reliable data platforms or analytics engineering solutions in production environments.
Experience building production-quality data pipelines and automation using Python, SQL, or similar technologies.
Experience modeling data for analytical use cases.
Strong understanding of modern data engineering practices, including data modeling, ETL/ELT, API integrations, data quality, and observability.
Experience working in cloud-native environments and integrating data from cloud platforms and SaaS sources.
Experience building integrations and automation using APIs rather than relying solely on out-of-the-box platform capabilities.
Strong analytical and problem-solving skills, with the ability to translate complex technical data into actionable insights.
Experience designing dashboards and metrics that support operational or business decision making.
Excellent communication skills and the ability to collaborate effectively across Security, Engineering, and other technical teams.
Experience working within cybersecurity, security engineering, or security governance.
Awareness of security frameworks such as TISAX, ISO 27001, NIST CSF.
Experience measuring control effectiveness, building security metrics, or implementing continuous assurance capabilities.
