Data Engineer, Security Analytics

About us     Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.   Make Wayve the experience that defines your career!   About the role As our security program 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 program. 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 program. 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. Key responsibilities 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 program. Ensure data quality, lineage, reliability, observability, and maintainability across our security analytics platform. Drive automation and continuous assurance Build automated evidence collection capabilities that reduce manual effort across governance, customer assurance, and security operations. Develop analytics that support continuous control monitoring and demonstrate control effectiveness through measurable outcomes. Partner with stakeholders across Security to translate security controls into measurable, automated indicators where practical. Design and implement automation that replaces repetitive operational processes with scalable engineering solutions. Enable data-driven security decisions Partner with SMEs to develop meaningful KPIs and metrics that help Security understand performance, risk, trends, and operational health. Work with stakeholders across Security to understand analytical requirements and translate them into scalable technical solutions. Continuously improve how security data is collected, modeled, and consumed across the organization. About you Essential 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 operationa