Security Data Engineer — AI-Ready Analytics & Snowflake (Hybrid)

Sony Interactive Entertainment; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Hybrid working

Discretionary bonus opportunity

Private Medical Insurance

Dental Scheme

London Allowance (if applicable)

25 days holiday per year

On Site Gym

Subsidised Café

Free soft drinks

On site bar

Cycle garage and showers

Job summary

Sony Interactive Entertainment in the UK seeks a data engineering professional to design and operate data foundations for security analytics. You will own ingestion, transformation, and enrichment pipelines, build Snowflake models, and enable AI-ready data for analytics.

Collaboration with global security, IT, studio, and platform teams is essential. The role focuses on backend data engineering, maintaining production pipelines, and delivering reliable data for dashboards and reporting.

Qualifications

• 4+ years creating analytics, reporting, data engineering, or data platform solutions.
• Hands-on SQL and strong knowledge of database technologies.
• Hands-on experience with Snowflake as the primary data platform.
• Experience building data pipelines and data modeling concepts for analytics.

Responsibilities

• Design, build, and optimize data ingestion, transformation, and enrichment pipelines.
• Build and maintain Snowflake data models and warehouse objects for reporting and AI use cases.
• Develop automation to reduce manual data handling and improve reliability.
• Prepare AI-ready data and support AI-enabled analytics workflows.
• Document data models, pipelines, and solutions for support.
• Collaborate with global stakeholders to translate requirements into reliable data and reporting.

Skills

SQL

Snowflake

Data pipelines

Python

REST APIs

CI/CD

Tools

Snowflake

dbt

Python

REST APIs

Job description

Sony Interactive Entertainment in the UK seeks a data engineering professional to design and operate data foundations for security analytics. You will own ingestion, transformation, and enrichment pipelines, build Snowflake models, and enable AI-ready data for analytics.

Collaboration with global security, IT, studio, and platform teams is essential. The role focuses on backend data engineering, maintaining production pipelines, and delivering reliable data for dashboards and reporting.