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About the Role
We are hiring a mid-level Analytics Engineer to join our data team. You will work closely with data analysts and data scientists to create clean, tested, well-documented, and well-modelled datasets that support teams and projects across the business, from experimentation to production. Our data stack includes Snowflake, dbt, Looker, Python, AWS, and GitHub. You will build and maintain foundational data models, explore next-generation analytics using generative AI, and automate workflows with Python to improve data system reliability and efficiency.
Responsibilities
- Working with in-house product engineering teams to ensure source data supports downstream requirements.
- Building and maintaining SQL transformations, tests, and documentation in dbt.
- Developing Python code to automate data workflows and integrate systems.
- Contributing to data modelling best practices and advising the team on writing reliable, maintainable transformations.
- Working with stakeholders across the business to make clean, intuitive datasets available through Looker and AI data analyst tools.
- Working with analysts and data scientists to identify opportunities to improve data quality, optimise performance, and automate manual processes.
Requirements
- Experience using dbt to build production-grade data models and test suites.
- Practical experience writing maintainable Python code for data processing, automation, or integrations.
- An engineering mindset applied to data, with a focus on testing, documentation, and maintainability.
- Excellent SQL skills, including a solid understanding of query performance optimization.
- Good practical understanding of version control and Git.
- Natural curiosity and a keen eye for detail.
- Ability to explain complex processes, requirements, and data concepts to both technical and non-technical stakeholders.
- Collaborative approach with technical teams and business stakeholders to understand requirements and develop useful solutions.
- Right to work in the UK (visa sponsorship not offered).
Skills
- dbt
- Python
- SQL
- Git
- Snowflake
- Looker
- AWS
- ETL
- ELT
- LookML
- Looker API
- Generative AI
- Agentic tools
Location
- West London office
- Commutable distance to London
Work Type
- Hybrid
- Full-time
Experience Level
- Mid-level
Benefits
- 25 days holiday plus 8 bank holidays
- Additional day of holiday per year of service up to 5 years
- 5 paid 'paws' days off per year for learning, development, or wellbeing
- £500 personal learning & development budget
- Share options grant
- Significant discount on Fresh food for personal dogs
- Enhanced parental leave
- Flexible core working hours
- Cycle to work scheme
- Pension with NEST
- Private Medical Insurance with Vitality
- Private Dental Insurance with Bupa
- Paid time off for fertility treatments and pregnancy loss
- Paid sabbaticals for squad members with 5+ years of service
- Discounted gym access through MyGymDiscounts
- Office dogs
About the Company
- Fresh Food, Happy Dogs.
- We believe dogs deserve the healthiest, most natural and tastiest meals.
- We make freshly prepared food, cooked like home and delivered direct to customers in perfect portions.
- A B-Corp certified company focused on sustainability.
- Aims to help dogs live healthier, happier, and longer lives.
- Founded by Kev & Dave, now feeding hundreds of thousands of dogs across the UK and Europe.
- Seeking brilliant people with ambition to join the team.
Equal Opportunity
- We believe in a seat at the table for everyone.
- Butternut Box is an equal opportunity employer.
- We celebrate different nationalities, backgrounds, experiences, and perspectives.
- Specifically committed to increasing representation from underrepresented groups.
- Dedicated to building an inclusive, supportive place where you can do the best work of your career.