Analytics Engineer - Zoopla

Hybrid - minimum 2 days on site in London, Tower Bridge HQ

Zoopla is one of the UK’s most instantly recognisable property brands. In fact, we’re known and loved by over 91% of the nation (and we’re working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing. Over 50 million people visit Zoopla every month to access exclusive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals.

We’re a growing, dynamic team that embraces innovation and isn’t afraid to push the boundaries. We’re only just starting our journey to redefine the digital property landscape, with much more to explore and achieve. Join us, and transform the way the nation makes home decisions.

As an Analytics Engineer in the Data Platform team, you’ll own and develop data modelling pipelines that power a wide range of data initiatives and data products. 

In this role, you’ll:

• Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.
• Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.
• Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.
• Deliver, and enable others to build well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.
• Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.
• Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).

We’re looking for someone who:

• Has experience setting up & developing dbt architecture using CI/CD practices (essential)
• Is highly proficient with SQL and data modelling best practices for optimising performance (essential)
• Has previously worked with visualisation tools such as Tableau or PowerBI (essential)
• Is confident collaborating and communicating with non-technical stakeholders (essential)
• Has experience working with AWS (Redshift, Glue, Lambda, Step Functions) or similar cloud platform, and Databricks (desirable)
• Has experience integrating dbt with other tools in the modern data stack (desirable)

We want to make Houseful more welcoming, fair and representative every day. We’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you’ve spent unemployed. We’re reimagining the property industry for everyone, so we want our team to represent people from all walks of life. We actively welcome your application if your demographics or background are underrepresented in the technology or property sectors.

• Everyday Flex - greater flexibility over where and when you work
• 25 days annual leave + extra days for years of service
• Day off for volunteering & Digital detox day
• Festive Closure - business closed for period between Christmas and New Year
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Parental leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary
• Talent referral bonus up to £5K