Staff Data Platform Engineer in Kennington

We’re looking for a Staff Data Platform Engineer to join our Data team at Yoto, to help power insights and decision-making across the business.
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You'll set technical direction, raise the engineering bar across the data team, and shape how our data platform scales as Yoto grows.About YotoYoto is a screen-free interactive audio platform for kids.
We make carefully connected audio players that kids control, with no microphones, cameras or ads.
We have a catalogue of audio that inspires creative play and learning with 1,000+ titles in our card store from top creators, publishers and labels
- think Disney, Marvel, Roald Dahl and Universal Music.
We also create Yoto Originals like BrainBots.Voted the 14th fastest-growing private software technology company in Britain in The Sunday Times 100 Tech 2025; and named the 94th fastest-growing company in Europe in the prestigious FT1000.Ranked 9th in Fast Company's Most Innovative Companies in 2024; and featured in the Sifted 100 fastest-growing startups across the UK&I by revenue growth.Featured in Bloomberg’s 25 UK startups to watch in 2023; and ranked second fastest growing tech company in the UK in the Deloitte Fast50.Named one of TIME Magazine’s Top 100 Inventions of 2020.We’re over 200 employees spread across the world..
and growing!We’re on a mission to be the soundtrack of childhood, and help families on their own unique adventures.
By creating products that inspire independent play, we help families discover and grow with an inspiring world of audio
- and we would like you to help us achieve it! Yoto’s Data TeamWe’re a growing team at the heart of all the decisions Yoto makes.
We tackle a broad range of problems, from developing cutting edge data solutions to building and maintaining data pipelines, query and orchestration platforms, our work spans across all the key strategic projects throughout the company.
We supercharge growth by providing self-service tools, valuable insights and advanced data science solutions.
We work in a high-trust environment with a lot of independence.
Everyone can contribute ideas and be part of the decision making process.What you’ll be doing:Own the architecture, reliability and long-term health of Yoto's end-to-end data platform, spanning GKE-hosted infrastructure, data ingestion, orchestration and transformationDefine and maintain the data platform roadmap, translating company strategy into a sequenced set of technical investments with clear short- and long-term trade-offs documentedWork across data science, analytics, product and software engineering to convert business requirements into platform capabilities, and ensure the platform serves company-wide use casesSet and enforce standards for data governance, access controls, data quality and ownership across the platformManage and develop a mid-level data engineer directly, including regular 1:1s, performance reviews, and structured growth plans, while also raising technical capability across the wider data team through code review, documentation and pairing.What you’ll bring: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 pipelinesExperience designing and operating production data platforms across cloud infrastructure, orchestration, ingestion and SQL transformation layersPractical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt and dbt
- or equivalent tools with the ability to articulate transferable reasoningDemonstrated ability to make and document architecture decisions that involve meaningful trade-offs across multiple teams or domainsA 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 workExperience 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 conversationsFamiliarity with GitOps practices in a data platform context.Salary: 80,000
- 90,000 based on experienceHow we use AI at YotoWe think using AI to work smarter is part of the job.At Yoto, we use AI to help us move faster and reduce manual work so we can focus our time on creativity, problem-solving and impact.
We don’t want to use AI to cut corners
- it’s about smart usage that makes space for the work that really matters.
Our intention is to be thoughtful about how we use AI.
We treat its outputs as a starting point, not the final answer, and we take care to use it responsibly
- especially given the trust families place in Yoto.We don’t expect everyone to be an AI expert, but we do expect people to be curious, to experiment, and to keep improving how they work.
If you prefer to do everything manually, you might find our pace and expectations challenging.The magic at Yoto comes from people working here, not their prompts.
AI should help us move faster, not change what makes working here great.What you can expect from Yoto:Flexibility: Hybrid working
- At least1 day a week on average in our central London office.
You are welcome and encouraged to come in more than this.
How you meet the minimum expectation is up to you, to ensure you're happy and productive in your role whilst also getting that vital face time with your colleagues. Take advantage of our ‘work from anywhere’ policy to work from a different location for up to 6 weeks every year.
Summer Hours policy to use between the months of June and August.Financial: Receive Income Protection, covering long term sickness for up to 2 years and company sick pay that increases with length of service.
Life Assurance cover from day one of your service.
Workplace Pension offering up to to 3% employer contributions, following probation.
Generous employee referral bonus scheme.Health & Wellness: Private Medical Insurance via Aviva, or a Wellbeing Allowance to be used for memberships, subscriptions, treatment or therapy.
Access to 24/7 Employee Assistance Programme (EAP) through WeCare.
Bike to work scheme to promote healthier lifestyles.Time Off: 25 days of holiday per year, plus