Data Engineer

We’re looking for a Mid-Level Data Engineer to join our team to design, build, and maintain the data pipelines, models, and platforms that power insights and decision‑making across Yoto.

About Yoto: Yoto 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. We’re over 200 employees spread across the world and growing!

Yoto’s Data Team: We’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.

What you’ll be doing:

• Building robust and scalable data extraction pipelines using dlthub, getting data from our diverse sources (e.g. internal platform, third‑ and first‑party APIs, etc.) into our existing pipeline infrastructure.
• Creating, maintaining and optimising data models using dbt, turning data into usable, enriched datasets for internal self‑service reporting and analytics use.
• Working with Dagster as our orchestration platform to manage pipeline dependencies, scheduling, and monitoring.
• Partnering with data scientists and analysts to ensure that datasets are meaningful, intuitive and relevant for their use cases, particularly for consumption via Lightdash (our BI tool).
• Creating clear data governance principles and practices, being an advocate for high quality data creation and usage across the business.
• Contributing to data platform infrastructure management and optimisation.

What you’ll bring:

• Proven experience in a data engineering and/or analytics engineering role, with a track record of having sustained impact.
• Experience with modern orchestration tools (Dagster preferred, Airflow or similar also welcome) for managing complex data workflows.
• Excellent SQL and strong Python expertise.
• Experience with core git workflows and version control best practices.
• Experience working cross‑functionally and building strong relationships with data users of varying degrees of data literacy.
• Comfortable with ambiguity and excited by the opportunity to shape how data drives decision‑making at Yoto.

Salary: £60,000 – £70,000 based on experience.

What you can expect from Yoto:

• Flexibility: Hybrid working – expectation of 1 day a week on average in our London office.
• 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 3% employer contributions, following probation.
• Generous employee referral bonus scheme.