Data Engineering Manager

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Hybrid Working Pattern - 2 days per week from Tower Bridge office

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.

We are looking for a Data Engineering Manager to lead our data platform team, build next-generation data solutions, and shape the future of data at Zoopla.
As a Data Engineering Manager at Zoopla, you will:

• Manage and grow a team of talented data engineers/analytics engineers (5 - 8 engineers), providing coaching, mentorship, and career development support
• Own the strategy, delivery, and health of our data platform infrastructure and pipelines, ensuring they are scalable, reliable, and aligned with business goals
• Collaborate with cross-functional teams across Product, Software Engineering, Data Science, and Analytics to enable data-driven decisions
• Drive the adoption of modern data engineering best practices, including CI/CD, observability, versioning, and testing in data workflows
• Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration (Airflow, Step Functions) capabilities
• Lead efforts around data governance/cataloging, compliance, and security, ensuring data is trustworthy and well-managed

Requirements
Essential skills & experience:

• Proven experience in a technical leadership or engineering management role, with responsibility for people management and project delivery
• Strong hands-on experience in Python and SQL (bonus: Spark and DBT)
• Good familiarity with AWS services (e.g. Lambda, S3, Redshift, Glue - Databricks is a plus)
• Track record of designing and implementing scalable data platforms and ETL/ELT pipelines
• Knowledge of data warehousing and data lake architectures, and modern orchestration tools (e.g. Step Functions, Airflow)
• Experience with infrastructure as code (e.g. Terraform)
• Understanding of data governance and data quality practices
• Ability to communicate technical concepts clearly and influence senior stakeholders

Desirable:

• Experience building data pipelines and lakehouse solutions using Databricks on AWS
• Led and managed teams of 5+ data engineers, delivering high-impact data projects

Benefits

• 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 - or membership in regional offices
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary