Data Engineer (AI)

TL;DR

Data Engineer (AI) (Snowflake/Python): Building and operating ingestion, transformation, enrichment, and data warehouse pipelines for PlayStation security analytics with an accent on reliable Snowflake models, automation, and AI-ready data foundations. Focus on designing scalable data workflows, troubleshooting production pipeline failures, and improving the quality and usability of complex security data.

Location: UK-based; remote-eligible with hybrid working benefits

Company

hirify.global creates PlayStation hardware, network services, and interactive entertainment experiences for a global audience.

What you will do

• Design, build, optimize, and operate 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 analytics.
• Develop automation that reduces manual data handling and improves platform reliability.
• Prepare AI-ready datasets and add business and technical context to security data for better prioritization and decision-making.
• Apply software engineering practices including version control, testing, code review, and continuous integration.
• Monitor production data products, troubleshoot pipeline failures, document solutions, and collaborate with global security, IT, studio, platform, and engineering stakeholders.

Requirements

• 4+ years of experience creating analytics, reporting, data engineering, or data platform solutions.
• Hands-on SQL, database technologies, Snowflake, data pipelines, and analytics-focused data modeling.
• Experience monitoring, troubleshooting, and resolving production ingestion and pipeline failures.
• 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, JSON, XML, or platform APIs.
• Strong written and verbal communication skills for explaining data and technical trade-offs; occasional travel may be required.

Nice to have

• Advanced Snowflake features including tasks, streams, dynamic tables, and performance tuning.
• dbt or a similar transformation and modeling framework.
• Experience with AI-enabled data products, data quality, governance, lineage, Domo, or comparable BI platforms.
• Knowledge of security risk, vulnerability, asset, identity, cloud, compliance, or control data.
• Exposure to cybersecurity concepts and web technologies such as JavaScript, HTML, and CSS.

Culture & Benefits

• Hybrid working with remote eligibility for the UK-based role.
• Discretionary bonus opportunity.
• Private medical insurance and dental scheme.
• 25 days of annual holiday.
• London allowance where applicable.
• On-site gym, subsidized café, free soft drinks, on-site bar, cycle garage, and showers.