# Data Engineering Manager

**Company**: Zoopla
**Location**: London, England
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q8074201

**Apply**: https://apply.workable.com/j/F4AB432037?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6bdd5b4f-6b9

## Description

We are seeking a Data Engineering Manager to lead our team into the future. The Data team exists to turn Zoopla's data into value: better decisions for the business, better products for our consumers and customers, and direct revenue where the data itself is the product.

Data Engineering is the foundation all of that runs on. Databricks on AWS is our single foundation, with dbt for modelling, Fivetran for SaaS sources and AWS services for internal sources.

As a Data Engineering Manager, you will:

- Set the direction for Data Engineering and communicate it

- Build a shared roadmap with the Head of Platform Engineering and Head of Product for Platform

- Put governance in place that people and AI can follow

- Make AI part of how the team works

- Own our Fivetran relationship and its cost

- Lead, coach and grow the team

Requirements:

- Experience leading data engineering initiatives and setting technical direction

- 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

- Practical data governance

- Experience using AI tools in engineering work

Nice to Have:

- Fivetran, RudderStack or similar ingestion and reverse ETL tools

- Experience running vendor relationships and contract renewals for data tooling

- Exposure to Model Context Protocol (MCP) servers or similar agent tooling

- Experience in property, marketplaces or other data-rich consumer businesses

Benefits:

- Hybrid working setup with 3 days in the office per week

- 25 days annual leave + additional leave benefits

- 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

## Skills

### Required
- Databricks
- dbt
- AWS
- Terraform
- Fivetran
- data governance
- AI tools
- ingestion and integration patterns

### Nice to have
- RudderStack
- Model Context Protocol (MCP) servers
- property marketplaces
- data-rich consumer businesses

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Source: [Apply at apply.workable.com](https://apply.workable.com/j/F4AB432037?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)