Data Engineer

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.
Data Engineer
PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure.
Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products.
You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions.
What You’ll Do
Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data.
Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products.
Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it.
Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams.
Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership.
Establish strong practices around data quality, testing, observability, documentation, and reproducibility.
Explore new data sources and technologies that improve how we understand and operate our infrastructure.
What We’re Looking For
3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems.
Advanced SQL skills and proficiency with Python or similar data-oriented programming languages.
Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines.
Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions.