Staff Data Platform Engineer

Salary: £45,000 - 85,000 per year

Requirements:

• Extensive hands-on experience in data engineering or analytics engineering, with a demonstrable track record of owning platform-level systems end-to-end, not just individual pipelines
• Experience designing and operating production data platforms across cloud infrastructure, orchestration, ingestion and SQL transformation layers
• Practical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt and dbt, or equivalent tools with the ability to articulate transferable reasoning
• Demonstrated ability to make and document architecture decisions that involve meaningful trade-offs across multiple teams or domains
• A track record of authoring and landing technical standards across Python, SQL and infrastructure code that other engineers, analysts and data scientists adopt in their day-to-day work
• Experience defining the scope of ambiguous technical problems, identifying what needs to be built and why, not just executing against an existing spec
• Nice to have: prior experience line managing an engineer, including setting objectives and running performance conversations
• Nice to have: familiarity with GitOps practices in a data platform context

Responsibilities:

• Own the architecture, reliability and long-term health of our end-to-end data platform, spanning GKE-hosted infrastructure, data ingestion, orchestration and transformation
• Define and maintain our data platform roadmap, translating company strategy into a sequenced set of technical investments with clear short- and long-term trade-offs documented
• Work across data science, analytics, product and software engineering to convert business requirements into platform capabilities, and ensure the platform serves company-wide use cases
• Set and enforce standards for data governance, access controls, data quality and ownership across the platform
• Manage and develop a mid-level data engineer directly, including regular 1:1s, performance reviews, and structured growth plans
• Raise technical capability across the wider data team through code review, documentation and pairing

Technologies:

• AI
• BigQuery
• Cloud
• GCP
• GitOps
• Kubernetes
• Python
• SQL
• Terraform
• dbt
• Support
• Marvel

More:

Were Yoto, a screen-free interactive audio platform for kids, creating carefully connected audio players that children control with no microphones, cameras or ads. Our catalogue includes 1,000+ titles from top creators, publishers and labels, plus Yoto Originals like BrainBots. Were over 200 employees spread across the world and growing, and our mission is to be the soundtrack of childhood and help families on their own unique adventures. Our Data team sits at the heart of company decisions, working in a high-trust environment with a lot of independence to build data solutions, pipelines, query and orchestration platforms, self-service tools, insights and advanced data science solutions. We offer hybrid working with at least 1 day a week in our central London office, a work-from-anywhere policy for up to 6 weeks each year, summer hours, private medical insurance or a wellbeing allowance, income protection, life assurance, pension contributions, 25 days of holiday plus bank holidays, your birthday off, family-friendly leave, a book allowance, volunteer days, a Yoto player and starter pack, and regular socials and celebrations. We are committed to flexibility, equity, diversity and inclusion, and we use AI thoughtfully to work smarter without cutting corners.

last updated 36 week of 2026