Data Engineer, Security Analytics
Core
Build scalable data pipelines, data models, and automations to measure control effectiveness, automate evidence collection, and provide continuous visibility into Wayve's security posture.
Role type
Senior Data Engineer (Security Analytics)
Builds
Scalable security data pipelines, unified security data models, automated evidence collection, and analytics dashboards for security governance.
Domain
Cybersecurity / Security Engineering / Cloud Infrastructure
Required skills
Data pipeline design and maintenance, Data modeling (ETL/ELT), API integrations, Cloud-native data engineering, Data quality and observability, Python, SQL, Analytics and visualization design, Automation development.
Preferred skills
Cybersecurity domain knowledge, Security frameworks (TISAX, ISO 27001, NIST CSF), Control effectiveness measurement, Security telemetry and vulnerability management tooling.
Technologies
Python, SQL, Cloud platforms, SaaS systems, API tools.
Responsibilities
Design and maintain scalable data pipelines for security data collection and transformation. Integrate data from identity, cloud, engineering, and security platforms. Build robust data models for security analytics and operational reporting. Develop analytics products and visualizations for security program health. Implement automated evidence collection to reduce manual effort. Partner with stakeholders to translate security controls into measurable indicators. Continuously improve data collection, modeling, and consumption processes.
Seniority
Senior, hands-on IC
