Senior Analytics Engineer

In this role, you will design, build, and scale analytics assets for the PlayStation Partners Platform, delivering trusted data and insights to support partners worldwide. You will lead greenfield analytics work, shape data models and architecture, and partner with business teams to translate problems into measurable data products. You will establish dbt standards and ensure data quality, governance, and observability while enabling data-driven decision making. This is a high-impact opportunity to influence how analytics is delivered across the organization and support growth and revenue opportunities.

• Design, build, and maintain analytics-ready data models using dbt with modular, reusable structures
• Lead greenfield analytics assets from raw ingestion to curated models
• Apply dimensional and other data modelling techniques to scale architecture
• Own analytics layer design to handle increasing data volume and complexity
• Ensure data quality, testing, documentation, and observability within dbt
• Partner with stakeholders to translate requirements into well-designed data models
• Define and embed dbt standards (naming, layering, testing, documentation)
• Contribute to data architecture decisions (warehouse design, schema organization, performance)
• Improve developer experience via tooling, CI/CD, and modern analytics workflows
• Maintain expertise in analytics tech stack for optimal performance and feature usage
• Mentor or support junior analytics engineers or analysts
• Collaborate with business, product, and engineering teams to deliver scalable solutions

• Proven experience delivering data products, analytics, and visualisations using BI tools (Domo, Tableau, Power BI, Qlik, or similar)
• Hands-on dbt experience with data model design/refactoring, testing, documentation, and exposures
• Strong data modelling skills across conceptual, logical, physical models including both 3NF and dimensional modelling
• Advanced SQL and experience with Snowflake, BigQuery, or Redshift
• Experience building greenfield analytics platforms or evolving existing ones
• Experience with data quality and observability (dbt or equivalents)
• Familiarity with orchestration tools such as Airflow, Dagster, or Prefect
• Experience with semantic layers, metrics frameworks, or analytics consumption patterns
• Exposure to data governance, access control, and analytics enablement at scale
• Experience mentoring or supporting junior analytics staff
• Strong track record partnering with business teams to deliver outcomes
• Undergraduate degree in a related field or equivalent
• Preferred experience in Domo, Snowflake, or web technologies and AWS exposure

• Collaborative mindset
• Opinionated yet pragmatic
• Ability to explain trade-offs clearly
• dbt (data modelling, testing, documentation, sources/snapshots/macros)
• SQL (advanced)
• Modern cloud data warehouses (Snowflake, BigQuery, Redshift)