Lead Data Engineer
Sony Interactive Entertainment
United Kingdom, London · GBR-London-15GMS · Hybrid · Posted Oct 20, 2026
At a glance
- Workplace
- Hybrid
- Location
- United Kingdom, London · GBR-London-15GMS
About the role
- As a Lead Data Engineer, you’ll work in our cross-disciplinary Data Platform team to ingest and process high-volume data.
- You’ll work closely with our Game Analytics analysts and analytics engineers, who use this data to gain valuable insights both during game development and post-launch.
- As a lead, you’ll scale our platform and help us define its technical direction, expand its reach, and help define and build the future of analytics for PlayStation games.
Responsibilities
- Own parts of our pipeline, and drive improvements to achieve our technical and business goals.
- Build supporting services for our pipeline, for example working on integrations with in-game maps and video tooling.
- Integrate our data collection platform and our BI tools to enable studio self-service.
- Work closely with the Devops team, our analytics engineers, and stakeholders across the studio business group.
- Focus on improving data quality, lineage and observability.
- Support our existing tooling, improving quality and documentation.
- Be a technical expert and share than knowledge with your colleagues.
Requirements
- You have experience building and owning Data Pipelines for high-throughput streaming and batch data.
- You are adept at writing code in Go or write Python with a willingness to learn Go.
- You are experienced in building robust, scalable, and resilient services.
- You can demonstrate measurable impact that you have made in your current and previous roles.
- You enjoy solving data problems, and can take responsibility for quality, investigations and remediation.
- Experience with cloud data services. We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue.
Preferred qualifications
- Has made use of AI during the development cycle, including use of Claude Code, Codex or other harnesses.
- Experience with near real-time data processing, querying and visualisation.
- Experience with Omni Analytics, or a similar BI tool (Looker, Tableau etc).
- GitHub and GitHub Actions experience.
Workplace
- Flexible hybrid working arrangement, with most time spent working remotely unless you prefer to come into the office.
- Attend the office for key moments that matter, such as important team meetings, collaboration sessions and business activities where in-person engagement is beneficial.
Skills
- Go
- Python
- AWS
- Amazon S3
- Redshift
- Kinesis
- Data Firehose
- Athena
- AWS Glue
- Claude Code
- Codex
- Omni Analytics
Show all 15 skills
- Looker
- Tableau
- GitHub Actions