Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin & proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK’s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers’ needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we’re looking for in a Senior Data Engineer:

We’ve recently renamed our wider business to ‘Houseful’, which is why the name might be new to you. By doing so, we can now showcase the breadth of our brands and connected capabilities that are driving progress in the property industry.
Houseful is the leader in residential property software, data and insight - owning and operating a family of trusted and established brands, including Zoopla, Hometrack, Prime Location, Mojo, Alto and Calcasa.
It also means that when you work for one of our brands, you’re part of something much bigger. At Houseful, we are powering better property decisions for everyone - and our door is always open to new applicants, regardless of race, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.