Security Analytics Engineer

Overview

In this role, you will design and operate the data engineering foundations for security analytics, building robust ingestion, transformation, and enrichment pipelines and Snowflake data models. You’ll enable AI-ready data and automation to support security posture reporting across PlayStation data assets. You will ensure reliable, production-grade data pipelines and partner with global stakeholders to translate security and business needs into trusted analytics. This UK-based, remote-eligible position offers the chance to impact security analytics delivery within a leading entertainment technology company.

Pay / Benefits

• Hybrid working
• Discretionary bonus opportunity
• Private Medical Insurance
• Dental Scheme
• London Allowance
• 25 days holiday per year

Responsibilities

• Design, build, and optimize data ingestion, transformation, and enrichment pipelines for analytics-ready data
• Develop and maintain Snowflake data models and warehouse objects to support reporting and AI use cases
• Create automation to reduce manual data handling and improve reliability across the platform
• Prepare AI-ready data and support AI-enabled analytics workflows
• Add business and technical context to security data to improve prioritization and decision-making
• Apply software engineering practices (version control, testing, code review, CI) to analytics code
• Operate pipelines in production: monitor health, troubleshoot, and resolve ingestion issues
• Collaborate with global security, IT, studio, platform, and engineering teams to capture requirements
• Document data models, pipelines, and solutions for ongoing support
• Share knowledge and contribute to team projects as priorities shift

Key requirements

• 4+ years in analytics, data engineering, or related data platform roles
• Hands-on SQL and knowledge of relational, columnar, or NoSQL databases
• Hands-on experience with Snowflake
• Experience building data pipelines and data modeling for analytics or data warehouses
• Experience operating pipelines in production (monitoring and troubleshooting)
• Scripting and automation experience (Python, Java, R, or similar)
• Experience enabling AI-enabled analytics or ML workflows
• Experience with REST APIs and data formats (JSON, XML) and platform SDKs/APIs
• Software engineering practices for analytics code (version control, testing, CI)
• Experience with large, complex data sets; security/tech/risk data a plus
• Strong cross-functional collaboration and clear written/verbal communication
• Some travel may be required

• Clear written and verbal communication
• Cross-functional collaboration
• Problem-solving mindset
• SQL
• Snowflake
• Data modeling for analytics/data warehouse