Data Engineer (Security Analytics)

Join Wayve, a pioneering company in the field of self-driving cars. As a Data Engineer specializing in Security Analytics, you will play a crucial role in building the data and automation capabilities that underpin our security program. You will design scalable data pipelines, data models, integrations, and automations that transform security data into actionable insights. This is a unique opportunity to establish Wayve's security analytics capability from the ground up and make a significant impact on our security posture.

• Design, build, and maintain scalable data pipelines that collect, transform, and enrich security data from systems across the business.
• Integrate data from identity, cloud, engineering, and security platforms to create a unified view of Wayve’s security posture.
• Establish the foundations of Wayve’s security analytics and automation capability, delivering automated evidence collection for selected key security controls.

• Experience building integrations and automation using APIs rather than relying solely on out-of-the-box platform capabilities
• Experience building production-quality data pipelines and automation using Python, SQL, or similar technologies
• Experience working in cloud-native environments and integrating data from cloud platforms and SaaS sources
• 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
• Strong analytical and problem-solving skills, with the ability to translate complex technical data into actionable insights
• Experience designing and operating reliable data platforms or analytics engineering solutions in production environments
• 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 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
• Familiarity with security telemetry, identity systems, cloud platforms, endpoint security, or vulnerability management tooling
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply