Security Analytics Engineer

sonyinteractiveentertainmentglobal; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working

Discretionary bonus opportunity

Private Medical Insurance

Dental Scheme

London Allowance

25 days holiday per year

On Site Gym

Subsidised Café

Free soft drinks

On site bar

Access to cycle garage and showers

Job summary

Sony Interactive Entertainment is hiring for a data analytics engineering role based in the United Kingdom. You will design and operate the data foundations, including ingestion pipelines, Snowflake models, automation, and AI-ready data patterns that enable analytics and reporting across security and business data.

The role emphasizes reliability, scalable data pipelines, and collaboration with global stakeholders.

Qualifications

• 4+ years creating analytics, reporting, data engineering, or data platform solutions.
• Hands-on SQL and strong knowledge of database technologies (relational, columnar, or NoSQL).
• Hands-on experience with Snowflake, our primary data platform.
• Experience building data pipelines and applying data modeling concepts for analytics or data warehouse use cases.
• Experience operating data pipelines in production: monitoring, troubleshooting, and resolving ingestion and pipeline failures.
• Experience with scripting and automation (Python, Java, R, or similar).
• Experience preparing data for, or supporting, AI-enabled analytics or machine learning workflows.
• Experience with REST APIs, common data formats (JSON, XML), and platform SDKs or APIs.
• Software engineering practices for analytics code: version control, testing, and CI.
• Experience with large, complex data sets; security, technology, risk, or compliance data a plus.
• Experience partnering with cross-functional teams, with clear written and verbal communication about data and technical tradeoffs.
• Some travel may be required.

Responsibilities

• Design, build, and optimize data ingestion, transformation, and enrichment pipelines for analytics-ready data.
• Build and maintain Snowflake data models and warehouse objects to support reporting and AI-enabled use cases.
• Develop automation to reduce manual data handling and improve reliability.
• Prepare AI-ready data and support AI-enabled analytics workflows.
• Add business and technical context to security data to improve prioritization.
• Apply software engineering practices to analytics code, including version control, testing, and CI.
• Run and support pipelines in production: monitor health, respond to failures, and troubleshoot issues.
• Collaborate with global stakeholders to translate requirements into data and reporting.
• Document data models, pipelines, and solutions for ongoing support.
• Share knowledge with teammates and contribute to team projects as priorities shift.

Skills

SQL

Data modeling

Automation

Python

REST APIs

Education

Bachelor's degree

Tools

Snowflake

dbt

JSON/XML

Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Job description

The successful candidate will join the Security Data Analytics team, working across PlayStation data assets and business groups. This team develops the data products, pipelines, dashboards, and reporting that help Information Security teams understand security posture, risk trends, control effectiveness, exposure, and remediation progress. Our work is increasingly built on automation and AI‑enabled analytics, and this role builds the data foundations that make that possible.

This opening focuses on the backend of that work. Reporting to the Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI‑ready data patterns that turn raw security signals into trusted, analytics‑ready data. Presentation‑layer engineers own most visualization delivery, so your primary contribution is the reliability, structure, and performance of the data layer, including keeping it running day to day.

This is a technical, individual contributor role. You will solve moderately complex problems with limited supervision and own a discrete workstream or a sub‑set of a larger effort, working closely with a global set of stakeholders. This role is UK‑based and remote‑eligible.

Responsibilities

• Design, build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics‑ready data.
• Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI‑enabled use cases.
• Develop automation that reduces manual data handling and reporting effort and improves reliability across the platform.
• Prepare AI‑ready data and support AI‑enabled analytics and reasoning workflows built on our data platform.
• Add business and technical context to security data to improve prioritization and decision‑making.
• Apply software engineering practices to data and analytics code, including version control, testing, code review, and CI.
• Run and support the team's pipelines and data products in production: monitor health, respond to failures, and troubleshoot and resolve ingestion and pipeline issues to keep data flowing reliably.
• Partner with global stakeholders across security, IT, studio, platform, and engineering teams to translate requirements into reliable data and reporting.
• Document data models, pipelines, and solutions so the team can support them.
• Share knowledge with teammates and contribute to team projects as priorities shift.

Qualifications

• 4+ years creating analytics, reporting, data engineering, or data platform solutions.
• Hands‑on SQL and strong knowledge of database technologies (relational, columnar, or NoSQL).
• Hands‑on experience with Snowflake, our primary data platform.
• Experience building data pipelines and applying data modeling concepts for analytics or data warehouse use cases.
• Experience operating data pipelines in production: monitoring, troubleshooting, and resolving ingestion and pipeline failures.
• Experience with scripting and automation (Python, Java, R, or similar).
• Experience preparing data for, or supporting, AI‑enabled analytics or machine learning workflows.
• Experience with REST APIs, common data formats (JSON, XML), and platform SDKs or APIs.
• Software engineering practices for analytics code: version control, testing, and CI.
• Experience with large, complex data sets; security, technology, risk, or compliance data a plus.
• Experience partnering with cross‑functional teams, with clear written and verbal communication about data and technical tradeoffs.
• Some travel may be required.

Desired qualifications

• Advanced Snowflake features, such as tasks, streams, dynamic tables, and performance tuning.
• Experience with dbt or a similar transformation and modeling framework.
• Experience automating data workflows or building AI‑ready or AI‑enabled data products.
• Working knowledge of security risk, vulnerability, asset, identity, cloud, or control data sets.
• Familiarity with data quality, governance, or lineage concepts.
• Experience with Domo or similar BI and visualization platforms, including dashboards.
• Experience with web technologies (JavaScript, HTML, CSS) and third‑party JavaScript visualizations.
• Exposure to cybersecurity concepts such as vulnerabilities, controls, cloud security, identity, incident response, or risk.

Benefits

• 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
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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