Lead Data Engineer
Posted Updated
Description
- 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
- You enjoy solving data problems, and can take responsibility for quality, investigations and remediation
- You have experience building and owning Data Pipelines for high-throughput streaming and batch data
- Experience with cloud data services. We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue
- 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 are adept at writing code in Go or write Python with a willingness to learn Go
- 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