Data Engineer in London

Data Engineer in London

London Full-Time 60000 - 70000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines that drive insights for Yoto's innovative audio platform.
  • Company: Join Yoto, a fast-growing tech company creating screen-free audio experiences for kids.
  • Benefits: Enjoy hybrid working, generous holiday, private medical insurance, and fun company socials.
  • Other info: Dynamic team culture with opportunities for professional growth and a commitment to diversity.
  • Why this job: Be part of a mission to inspire childhood creativity through audio while shaping data-driven decisions.
  • Qualifications: Experience in data engineering, strong SQL and Python skills, and familiarity with orchestration tools.

The predicted salary is between 60000 - 70000 ÂŁ per year.

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.

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'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 Team tackles 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:

  • 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 – you'll be writing custom data assets in Dagster and contributing to dbt pipelines.
  • 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, but you are welcome to come in more than this.
  • Financial: Receive Income Protection, covering long term sickness for up to 2 years and company sick pay that increases with length of service.
  • Health & Wellness: Private Medical Insurance via Aviva, or a Wellbeing Allowance to be used for memberships, subscriptions, treatment or therapy.
  • Time Off: 25 days of holiday per year, plus bank holidays. On top of this, you also receive your birthday off, plus 1 extra day of holiday for every year worked after you hit your 2 year anniversary, up to 5 extra days.
  • Helping Families: Variety of family‐friendly leave, including enhanced maternity, paternity, adoption, fertility, pregnancy loss and carers leave.
  • People & Planet: Up to 2 volunteer days a year. A Book Allowance of up to ÂŁ50 a year to contribute to your professional development.
  • Fun Perks: You receive your very own Yoto player and starter pack of cards! Regular company socials and celebrations, including our annual YotoFest!

At Yoto, we love creating a world where childhood is rich with discovery and joy. We're also passionate about building a workplace where everyone can thrive – both professionally and personally. We value flexibility and give our team the freedom to balance life and work in ways that suit them.

We're committed to fostering a safe, diverse, and inclusive environment where all individuals, regardless of their background, feel valued and supported.

Data Engineer in London employer: Yoto

Yoto is an exceptional employer that fosters a high-trust, flexible work environment where creativity and collaboration thrive. With a strong commitment to employee well-being, we offer generous benefits including hybrid working options, extensive health and wellness support, and opportunities for professional growth. Join us in our mission to inspire childhood adventures through innovative audio experiences, all while enjoying a vibrant company culture that celebrates diversity and inclusion.
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Contact Detail:

Yoto Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Yoto employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you tackle problems – it’s all about showing your approach to data challenges!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Yoto. Plus, it shows you’re genuinely interested in joining our awesome team!

We think you need these skills to ace Data Engineer in London

Data Pipeline Development
Data Modelling
SQL
Python
Dagster
Data Governance
Data Infrastructure Management
API Integration
Cross-Functional Collaboration
Version Control (Git)
Analytical Skills
Problem-Solving Skills
Communication Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience, especially with data pipelines and orchestration tools like Dagster. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to Yoto's mission. Be sure to mention any specific projects or achievements that showcase your expertise.

Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in SQL and Python. We love seeing examples of how you've used these skills in past roles, so feel free to include links to projects or GitHub repositories if you have them!

Apply Through Our Website: Remember to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Yoto!

How to prepare for a job interview at Yoto

✨Know Your Data Tools

Make sure you brush up on your knowledge of data extraction pipelines, dbt, and Dagster. Be ready to discuss how you've used these tools in past projects and how they can be applied to Yoto's data needs.

✨Showcase Your SQL and Python Skills

Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem or write a query on the spot, so practice common scenarios that could come up in a data engineering context.

✨Understand Yoto's Mission

Familiarise yourself with Yoto's products and their mission to inspire independent play through audio. Being able to connect your skills to their goals will show your genuine interest in the company and its impact on childhood development.

✨Emphasise Collaboration

Yoto values cross-functional teamwork, so be prepared to share examples of how you've successfully collaborated with data scientists and analysts in the past. Highlight your ability to communicate complex data concepts to those with varying levels of data literacy.

Data Engineer in London
Yoto
Location: London

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