Описание
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.
Задачи
- 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.
Требования
- 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.
- Будет плюсом: 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
Условия
- Our hybrid setup means you'll 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
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Data engineer in property employer: Zoopla
At Zoopla, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while ensuring meaningful in-person connections, particularly in our vibrant Tower Bridge office, which is surrounded by lively neighbourhoods. With a strong focus on employee growth, comprehensive benefits, and a commitment to leveraging cutting-edge technology, we empower our team members to take ownership of their work and drive impactful design solutions.
