Senior Data Engineer

Join Sony Interactive Entertainment (SIE) as a Senior Data Engineer. In this hands-on role, you will design, develop, and operate scalable data solutions that drive decision-making and transformation across the organization. You will work closely with engineering, platform, product, and business teams, taking end-to-end ownership of complex solutions and raising engineering standards through technical leadership and mentoring. Your responsibilities will include building robust data pipelines, developing reusable data models, leading technical design initiatives, and implementing automated testing and data validation. You will also mentor engineers, partner with various teams to clarify requirements, and proactively identify delivery risks and technical debt.

• Design, develop, and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE).
• Build reusable data pipelines, integration services, and curated data products for business domains including Commerce, hardware, game play, products and services, and accounts.
• Take end-to-end ownership of complex solutions and raise engineering standards through technical leadership and mentoring.

• Experience with AWS services, APIs, event-driven integration and infrastructure as code
• Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus
• Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools to accelerate engineering productivity and improve code quality
• Typically 5+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions
• Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles
• Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies
• 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
• Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks
• Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders
• Bachelor’s degree in a relevant discipline or equivalent practical experience
• Experience working with globally distributed teams and supporting cross-functional transformation programs
• Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices