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Data Engineer, Security Analytics - Wayve

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Build scalable security data pipelines and automation for Wayve’s growing security program. Design data models, integrations, and analytics to improve operational decision-making and reduce manual effort. Requires experience in data engineering, cloud-native environments, and Python/SQL.

Key Responsibilities
Design and maintain scalable data pipelines for security data collection, transformation, and enrichment.
Integrate data from identity, cloud, engineering, and security platforms to create a unified security posture view.
Develop robust data models, analytics, and visualizations to provide actionable security insights.
Automate evidence collection and measure control effectiveness to reduce manual effort in governance and operations.
Partner with stakeholders to develop meaningful KPIs and metrics for security performance and risk assessment.
Ensure data quality, reliability, and observability across security analytics platforms.
Technical Skills Required
Data Engineering Python/SQL Cloud-Native Environments
Benefits & Perks
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working with core hours
Learning and development budgets
Comprehensive benefits including health insurance, dental, enhanced maternity/paternity leave, retirement, wellbeing partnerships, and team socials
Nice to Have
Experience with API-based integrations and automation beyond out-of-the-box platform capabilities.
Experience with continuous control monitoring and measurable outcomes for security controls.

Job Description

We build embodied intelligence for real vehicles and the future ecosystem of a billion machines. This role focuses on the Security Team and involves creating scalable data and automation capabilities to measure control effectiveness, automate evidence collection, and provide continuous visibility into security posture.

As a Data Engineer, you will:

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