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A leading property data company in London is seeking a Head of Data Engineering to lead the delivery of an advanced Property Data Platform. This role requires collaboration across various teams and a commitment to maintaining high standards of data governance and compliance. Ideal candidates will have experience in modern data technologies like PySpark and Databricks, along with a track record of continuous improvement in data engineering practices. The position offers competitive benefits and hybrid working options.
Hometrack is seeking an accomplished Head of / Principal Data Engineer, to lead the delivery of the UK’s best Property Data Platform. We offer a competitive salary, fantastic benefits, and flexible, hybrid working.
Hometrack’s market-leading property data sets, valuation models, and risk insights are delivered via our suite of B2B SaaS applications for mortgage lenders, brokers, and more. We’ve led the market for twenty years.
Our services are mission-critical to the UK’s top banks, automating their mortgage offers. They’re used daily by home builders, mortgage brokers, local councils, and more to make informed property purchasing decisions. We’ve migrated key legacy SQL Server/SSIS pipelines to PySpark and Databricks, and we’re in the home stretch of our modernisation programme. Now we’re looking to unlock the power of our disparate data, and make it accessible and reusable across our teams and products, and enable our customers to self-serve. Come help us architect and deliver the UK’s best Property Data Platform.
We want our new joiners to relate to and champion our Hometrack behaviours:
Our mission is to make Hometrack more welcoming, fair and representative every day. All qualified applicants will be considered for employment regardless of ethnicity, colour, nationality, religion, sexual orientation, gender, gender identity, age, disability, neurodiversity, family or parental status, or time unemployed. We’re re-imagining the property industry to make it work for everyone, so we actively welcome applications from demographics that are underrepresented in technology.