Data Engineering Manager

Zoopla

. Set the direction for Data Engineering and communicate it.

Posted 10/15/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering leadership, with a focus on building and managing teams, implementing data governance, and integrating AI into engineering processes. Proficient in using Databricks, AWS, and modern ingestion patterns to enhance data architecture and platform efficiency.

Highest-signal resume keywords

Data Engineering LeadershipDatabricks and Unity CatalogAWS and Infrastructure as CodeData Governance PracticesFivetran and Ingestion Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureIngestion PatternsData QualityChange Data CaptureEvent-Driven IngestionReverse ETLTerraformAI Tools in EngineeringVendor Relationship Management

Soft Skills

Team LeadershipMentoringCollaborationFeedback CommunicationPartnership Building

Tools & Technologies

DatabricksAWS ServicesDbtFivetranRudderStack

Industry Keywords

Data GovernanceProperty MarketplacesConsumer BusinessesData ContractsPersonal Data Handling

Tech Stack

Tools & technologies

AWSETLTerraformUnity

About the role

Key responsibilities & impact

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.
Bring data architecture and platform architecture together in long-term technical planning.
Put governance in place that people and AI can follow.
Make AI part of how the team works and bring Data Engineering into the software factory.
Own the Fivetran relationship and its cost.
Lead, coach and grow a team of four data engineers.
Hire well, give clear feedback and share knowledge.
Report to the Director of Data.
Work closely with the Head of Engineering Platform and Head of Product Platform.
Use Databricks on AWS, dbt, Fivetran and AWS services to improve ingestion and export patterns.

Requirements

What you’ll need

Experience leading data engineering initiatives and setting technical direction, with formal line management experience OR a strong track record of mentoring engineers, leading projects, and a clear desire to step into people management.
Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt.
Comfortable on AWS and with infrastructure as code (Terraform), and able to hold your own in a design review with platform engineers.
Strong grounding in ingestion and integration patterns: managed connectors, change data capture, event-driven and streaming ingestion, and reverse ETL or file-based exports to external systems and customers.
Practical data governance: access control, data contracts, data quality and personal data handling, applied so teams can move faster.
Experience using AI tools in engineering work, with a clear view on where they help, and how to keep them safe.
You build strong partnerships with engineering and product leaders, and you can disagree well and still land on a shared plan.
You know what your platform costs and what the business gets back for it.
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

Comp & perks

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