Data Engineer

Join PlayStation's Infrastructure Business Operations team as a Data Engineer. In this role, you will build the data foundation for understanding the cost, utilization, and economics of PlayStation's global infrastructure. You will work alongside engineering, product, finance, FinOps, and operations teams to create a data platform that connects disparate data sources into a trusted view of infrastructure usage and costs. You will own the end-to-end implementation, from identifying key questions to turning data into insights that drive better decisions.

Responsibilities

• Construire des pipelines de données évolutifs qui ingèrent, transforment et combinent des données d'infrastructure physique, de systèmes d'ingénierie, financières et de produits.
• Développer des modèles de coûts et d'allocation qui relient la consommation d'infrastructure aux charges de travail, services, fonctionnalités et produits.
• Analyser les coûts, l'utilisation, la capacité et l'économie unitaire de l'infrastructure pour aider à prendre des décisions commerciales clés.
• Experience connecting technical infrastructure consumption to product or business metrics

Requirements

• Strong communication skills and the ability to work across global engineering, product, Finance, and business teams
• Experience working with large, complex datasets across multiple systems and levels of granularity
• 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems
• Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure
• Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions
• Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions
• Experience and flexibility with current analytics and visualization tools
• Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines
• Advanced SQL skills and proficiency with Python or similar data-oriented programming languages

Bachelor’s degree in computer science

• Experience with AWS, Google Cloud, or Azure billing and usage data
• Experience with Kubernetes telemetry, networking, or data center operational data
• Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps