At a Glance
- Tasks: Design and develop scalable data solutions that drive decision-making at Sony Interactive Entertainment.
- Company: Join the innovative team behind PlayStation, a leader in entertainment excellence.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make an impact in the gaming industry with cutting-edge data engineering.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills, and experience with cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
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.
We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Player Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Commerce, hardware, game play, products and services, and accounts.
You will help create reliable, governed and AI-ready Player data foundations.
- Design, deliver and maintain Player data solutions: Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments.
- Develop reusable, well-documented data models: Translate complex business logic into reliable engineering solutions.
- Own quality, reliability and operations: Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement.
- Implement automated testing: Data validation, reconciliation, lineage, observability, alerting and operational runbooks to improve performance and platform efficiency.
- Provide technical leadership and collaborate: Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice.
- Partner with stakeholders: Collaborate with TPM's, business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership.
- Proactively identify delivery risks: Technical debt and cross-team dependencies; enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls.
Typically 5+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. 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, 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 to accelerate engineering productivity and improve code quality. Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus.
Bachelor's degree in a relevant discipline or equivalent practical experience.
ExperienceStrong hands-on SQL and Python skills, with 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.
We strive to create an inclusive environment, empower employees and embrace diversity.
Senior Data Engineer - AI & Data in London employer: Sony Interactive Entertainment America
At Sony Interactive Entertainment, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. Our dynamic work culture fosters innovation and creativity, offering employees exceptional benefits such as hybrid working, a discretionary bonus, and access to an on-site gym and café. With a strong commitment to employee growth and a focus on inclusivity, SIE provides a unique opportunity for meaningful engagement and career development within the exciting world of gaming and technology.
Contact Details:
Sony Interactive Entertainment America Recruitment Team
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We think you need these skills to ace Senior Data Engineer - AI & Data in London
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