Data engineer in gaming
Data engineer on Sony Interactive Entertainment's (PlayStation) studio data team in London: owns and improves high-throughput streaming/batch data pipelines, builds supporting services (e.g. in-game maps and video tooling integrations), and connects the data collection platform with BI tools. Core stack: Go/Python and AWS analytics services.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience building and owning data pipelines for high-throughput streaming and batch data
- Adept at writing code in Go, or writes Python with willingness to learn Go
- Experienced in building robust, scalable, and resilient services
- Can demonstrate measurable impact made in current and previous roles
- Enjoys solving data problems and takes responsibility for quality, investigations and remediation
- Experience with cloud data services (AWS: S3, Redshift, Kinesis, Data Firehose, Athena, AWS Glue)
Nice to have
- Has used AI during the development cycle, e.g. 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
Full description
Описание:
Sony Interactive Entertainment isn’s 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.
Задачи:
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.
Требования:
- 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.
- Будет плюсом: 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
Условия:
This role offers a flexible hybrid working arrangement, with most time spent working remotely unless you prefer to come into the office. We attend the office for key moments that matter, such as important team meetings, collaboration sessions and business activities where in-person engagement is beneficial.