Data Engineer

Data Engineer

Full-Time 51000 - 59000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build data pipelines that drive insights and decision-making.
  • Company: Join Yoto, a vibrant tech company focused on creativity and innovation.
  • Benefits: Enjoy hybrid working, generous holiday, private medical insurance, and share options.
  • Why this job: Shape how data influences decisions and collaborate with passionate data professionals.
  • Qualifications: Experience in data engineering, strong SQL and Python skills required.
  • Other info: Embrace a diverse and inclusive culture with excellent career growth opportunities.

The predicted salary is between 51000 - 59000 £ 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.

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 make sure 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. 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: Generous share option programme, income protection, company sick pay, life assurance from day one, pension contributions, and employee referral bonus scheme.
  • Health & Wellness: Private medical insurance, wellbeing allowance, 24/7 employee assistance, dental guidance, and bike to work scheme.
  • Time Off: 25 days of holiday per year plus bank holidays, birthday off, extra holiday for each year worked after 2 years up to 5 extra days, and sabbatical after 4 years.
  • Helping Families: Family-friendly leave and nursery scheme.
  • People & Planet: Volunteer days and book allowance for development.
  • Fun Perks: Your own Yoto player and starter pack, regular socials and YotoFest.

Equity and Diversity: 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 feel valued and supported. Our Diversity, Equity and Inclusion group holds bi-monthly forums to elevate diverse voices and perspectives, ensuring everyone at Yoto feels heard, respected, and appreciated. We don’t just embrace differences - we celebrate them. We share audio content from a vibrant and diverse community of creators and we are building a team that reflects that same diversity.

Please only apply or engage with Yoto jobs posted on our careers page. All correspondence from our Talent team will only come through Teamtailor, our application tracking system.

Data Engineer employer: Colossyan

Yoto is an exceptional employer that prioritises flexibility and employee well-being, offering a hybrid working model and generous benefits including private medical insurance and a share option programme. With a strong commitment to diversity, equity, and inclusion, Yoto fosters a supportive work culture where employees can thrive both personally and professionally, while also providing ample opportunities for growth and development in the dynamic field of data engineering.
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Contact Detail:

Colossyan Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to Yoto's mission.

✨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. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Data Engineer

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

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with data pipelines, SQL, and Python, as these are key skills we're looking for. Show us how your past work aligns with what we do at Yoto!

Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, don’t hesitate to include them. We love seeing practical examples of your skills, especially with tools like Dagster and dbt.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to understand your experience and skills without having to decipher complex terms!

Apply Through Our Website: Remember to submit your application through our careers page. This ensures that it reaches the right people in our Talent team. Plus, it’s the best way to stay updated on your application status!

How to prepare for a job interview at Colossyan

✨Know Your Data Tools

Familiarise yourself with the specific tools mentioned in the job description, like Dagster and dbt. Be ready to discuss your experience with these tools and how you've used them to build data pipelines or manage workflows.

✨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 on the spot, so brush up on writing queries and scripts that could help in data extraction and transformation.

✨Understand Data Governance

Be prepared to talk about data governance principles and practices. Think of examples where you’ve ensured high-quality data creation and usage, as this is crucial for the role and will show your commitment to data integrity.

✨Cross-Functional Collaboration

Highlight your experience working with data scientists and analysts. Share specific instances where you’ve partnered with different teams to create meaningful datasets, as this will demonstrate your ability to communicate effectively across varying levels of data literacy.

Data Engineer
Colossyan
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