Senior Data Engineer

The role

You will design, develop and operate scalable data solutions and reusable data pipelines. You will work within Enterprise Data Engineering to support business domains like Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations.

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
• Own solutions throughout the engineering lifecycle from requirements to deployment and monitoring
• Implement automated testing, data validation, lineage, observability, alerting and operational runbooks
• Apply engineering practices including version control, code review, CI/CD and infrastructure automation
• Mentor engineers and lead technical reviews
• Partner with business stakeholders, architects, security, governance, analytics 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

• 6+ years of professional data engineering or software engineering experience
• Strong hands-on SQL and Python skills
• Experience in distributed data processing using PySpark and/or Databricks
• Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies
• Solid experience with cloud data platforms and warehouses, particularly Snowflake
• Knowledge of data modelling, dimensional design and data product principles
• Experience with orchestration, 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
• 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

Nice to have

• Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms
• Experience with AWS services, APIs, event-driven integration and infrastructure as code
• Experience building reconciled financial data, master/reference data or enterprise operational data products
• 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 programmes

Benefits

• paid time off
• wellness program
• employee discounts for Sony products
• may be eligible for a bonus package

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. It is a dynamic technology company and an entertainment leader.