Security Analytics Engineer (Cybersecurity)

TL;DR

Security Analytics Engineer (Cybersecurity): Building and operating ingestion, transformation, enrichment pipelines, and Snowflake data models that turn security, technology, and business signals into trusted analytics-ready data with an accent on automation, reliability, and AI-enabled analytics. Focus on designing production data platforms, optimizing complex data workflows, and preparing structured security data for advanced reasoning and decision-making.

Location: United Kingdom, London; remote-eligible with hybrid working

Company

hirify.global is the entertainment and technology brand of Sony Interactive Entertainment, delivering gaming hardware, network services, and interactive entertainment experiences worldwide.

What you will do

• Design, build, and optimize ingestion, transformation, and enrichment pipelines for security, technology, and business data.
• Build and maintain Snowflake data models and warehouse objects for reporting, automation, visualization, and AI-enabled use cases.
• Develop automation and apply software engineering practices, including version control, testing, code review, and continuous integration.
• Operate production pipelines and data products by monitoring health, troubleshooting failures, and resolving ingestion issues.
• Enrich security data with business and technical context to support prioritization, risk analysis, and remediation decisions.
• Collaborate with global security, IT, studio, platform, and engineering stakeholders while documenting data models and solutions.

Requirements

• 4+ years of experience creating analytics, reporting, data engineering, or data platform solutions.
• Hands-on SQL, database technologies, Snowflake, data pipelines, and analytics data modeling.
• Experience operating production pipelines, including monitoring, troubleshooting, and failure resolution.
• Scripting and automation experience with Python, Java, R, or similar technologies.
• Experience preparing data for AI-enabled analytics or machine learning workflows, and working with REST APIs and JSON or XML.
• Experience with version control, testing, CI, large complex datasets, and cross-functional technical communication.

Nice to have

• Advanced Snowflake features such as tasks, streams, dynamic tables, and performance tuning.
• Experience with dbt or a similar transformation and modeling framework.
• Knowledge of security risk, vulnerability, asset, identity, cloud, control, data quality, governance, or lineage concepts.
• Experience with Domo or similar BI platforms, dashboards, and web technologies.

Culture & Benefits

• Hybrid working with remote eligibility for this UK-based role.
• Discretionary bonus opportunity and London Allowance where applicable.
• Private medical insurance, dental scheme, and 25 days of annual holiday.
• On-site gym, subsidised café, free soft drinks, on-site bar, cycle garage, and showers.
• Background checks are conducted at the offer stage for new employees.