About the Role
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. We're looking for a Senior Data Engineer to build the next stage of our data platform.
Responsibilities
•Owning Data Engineering projects end to end, from technical direction to business impact.
•Designing and building our standard ingestion and export patterns, and moving existing pipelines onto them.
•Building governance into every pipeline: access, personal data, lineage and cost.
•Using AI to make the patterns faster to apply, and helping bring Data Engineering into our software factory.
•Reviewing code, mentoring other engineers, and sharing knowledge.
•Taking your share of keeping production healthy.
Requirements
•Substantial experience building and running production data pipelines that other teams and customers depend on.
•Strong Python and SQL.
•Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt.
•Comfortable on AWS and with infrastructure as code (Terraform).
•Strong grounding in ingestion and integration patterns: managed connectors, change data capture, event-driven and streaming ingestion, and exports to external systems and customers. You know the trade-offs.
•A track record of simplifying: replacing one-off pipelines with a small number of patterns, without breaking things on the way.
•Experience using AI tools in engineering work, with a clear view on where they help, and how to keep them safe.
•Practical data governance: access control, data quality and personal data handling, applied so teams can move faster.
•You can explain technical things in plain English, and you push back when the ask doesn't match the problem.
Nice to Have
•Fivetran, RudderStack or similar ingestion and reverse ETL tools.
•Databricks Lakeflow, Auto Loader or Delta Sharing.
•Exposure to Model Context Protocol (MCP) servers or similar agent tooling.
•Experience in property, marketplaces or other data-rich consumer businesses.
Conditions / Benefits
•Hybrid setup: join us in the Tower Bridge office 3 days each week.
•25 days annual leave + additional leave benefits, including extra days for length of service, plus other leave perks.
•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.
