Senior Data Engineer

The role

This Senior Data Engineer will design, develop, and operate scalable data solutions for Player Data Engineering. You will build reusable data pipelines, integration services, and curated data products for business domains like Commerce, hardware, and game play.

What you will do

• Design, build, test and maintain batch and near-real-time data pipelines and ETL/ELT workflows.
• Develop reusable, well-documented data models and domain-aligned data products.
• Lead technical design for assigned initiatives and ensure solutions are scalable and secure.
• Own solutions throughout the engineering lifecycle from design through deployment and monitoring.
• Implement automated testing, data validation, lineage, observability, and alerting.
• Apply engineering practices including version control, code review, CI/CD, and infrastructure automation.
• Mentor engineers and lead technical reviews.
• Partner with TPMs, business stakeholders, architects, security, and platform teams.
• Identify delivery risks, technical debt, and cross-team dependencies.
• Enable trusted data for analytics, planning, automation and AI use cases.

Required qualifications

• 5+ years of professional data engineering or software engineering experience.
• Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks such as dbt, Ab Initio or equivalent.
• Experience with cloud data platforms and warehouses, particularly Snowflake.
• Knowledge of data modelling, dimensional design and data product principles.
• Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services.
• Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments.
• Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools.
• Ability to influence technical decisions, mentor peers and communicate effectively.
• Bachelor’s degree in a relevant discipline or equivalent practical experience.

Nice to have

• Familiarity with building or integrating AI agents into data engineering workflows
• Strong hands-on SQL and Python skills
• Experience in distributed data processing using PySpark and/or Databricks
• Experience with AWS services, APIs, event-driven integration and infrastructure as code
• Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices
• Experience working with globally distributed teams and supporting cross-functional transformation programs

Before you apply

• Sony Interactive Entertainment conducts background checks at the offer stage for all new employees.

About the company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand and a subsidiary of Sony Group Corporation. It is a dynamic technology company and an entertainment leader.