Join Beavertown Brewery as our next Data Engineer
Enfield, England, United Kingdom (Hybrid)
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A bit about us
Beavertown began life in a tiny BBQ joint in Haggerston, North London. In 2020 we opened BEAVERWORLD, our out of this world brewery & mothership in Ponders End. Alongside our Lockwood Brewery in Tottenham Hale and our micro-brewery at the Tottenham Hotspur Stadium we have the capacity to brew a staggering 90 million pints a year.
Now, we’re happily brewing loads of great beer – for everyone to enjoy – anywhere in the universe…although tastes best when drank on Earth. So, if you’re into tasty beer with a difference, you’ve come to the right place.
The role
We’re looking for a pro-active, driven Data Engineer to join our growing data team at Beavertown Brewery.
Data is at the heart of everything we do – from understanding our customers to optimising brewing operations and driving commercial performance. In this role, you’ll play a key part in connecting data from across the business into a single, reliable platform that stakeholders can trust.
You’ll work closely with teams across the organisation, building robust data pipelines and transforming raw data into meaningful insights that power decision-making. If you enjoy solving problems, building scalable solutions, and working in a collaborative environment – we’d love to hear from you.
What you’ll be doing
As a Data Engineer, you’ll help ensure our data platform is accurate, reliable, and fit for purpose. Your key responsibilities will include:
Data Engineering & Pipelines
- Build and maintain data pipelines to integrate commercial, operational, and financial data into our platform
- Ensure pipelines are reliable, monitored, and kept running with minimal disruption
- Troubleshoot and resolve pipeline issues quickly to avoid impacting reporting
Data Transformation & Quality
- Write code to transform raw data into structured, consistent datasets for analytics
- Implement data validation checks and quality testing within pipelines
- Ensure data is accurate before it reaches business users
Data Governance & Best Practice
- Follow version control and deployment processes to safely release changes
- Maintain clear and up-to-date data documentation
- Handle personal and sensitive data in line with GDPR and company policy
Collaboration & Support
- Support the wider business in using data effectively, enabling self-serve analytics
- Work closely with stakeholders to understand data needs and priorities
- Contribute to the data community, sharing knowledge and improving practices
What we’re looking for
We’re looking for someone who combines strong technical foundations with a proactive, collaborative mindset. You’ll ideally have:
✅ Intermediate SQL skills
✅ Basic Python knowledge
✅ Experience with Git and version control
✅ Understanding of ETL/ELT concepts and data pipelines
✅ Familiarity with cloud-based data platforms
✅ Strong problem-solving skills and attention to detail
✅ A proactive approach with the ability to own and deliver tasks
Desirable:
- Experience with Azure Data Factory, Databricks or Apache Spark
- Familiarity with tools such as Fivetran
- Understanding of modern data architectures (e.g. medallion architecture)
- Exposure to CI/CD, Azure DevOps or Jira
- University degree in Computer Science, IT, or Maths preferred, but not essential.
Why join us?
At Beavertown, you’ll be part of a passionate, creative team where data plays a central role in shaping the future of our business.
This is a fantastic opportunity to work on varied and meaningful data challenges, develop your technical skills, and make a real impact in a growing and supportive organisation.
What’s in it for you?
- Discounts on Beavertown beer and goodies
- Discretionary bonus
- 25 days Annual Leave plus bank holidays, plus your birthday off
- 2 volunteering days each year
- Private healthcare
- Company pension
- Life Assurance (x3) and Group Income Protection
- Regular team and company socials, including monthly lunch
If you’d be a great fit for this role, click apply, attach your CV, and answer a few short questions.
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