Data Engineer, Security Analytics

Role Overview

Join the Security team at Wayve 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 actionable insights.

What You Will Do

Designing, building, and maintaining scalable data pipelines, integrating data from cloud, identity, engineering, and security platforms, developing analytics and visualizations, and ensuring data quality, lineage, reliability, observability, and maintainability across our security analytics platform.

Why It Might Be a Fit

You’ll have experience designing and operating reliable data platforms or analytics engineering solutions in production environments, building production-quality data pipelines and automation, and working in cloud-native environments and integrating data from cloud platforms and SaaS sources.

Requirements

• 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 and 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 ability to collaborate effectively across Security, Engineering, and other technical teams

Benefits

• salaries benchmarked against the market annually
• meaningful equity, sharing in the ownership and long-term success of Wayve
• relocation support and visa sponsorship where applicable
• hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• learning and development budgets with support for training, conferences, and growth
• comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Tagged as: Python, SQL