Senior Data Engineer (Houseful)

About the Role

Title: Senior Data Engineer

Location: London England GB

Job Description:

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:

• Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success

• Be a continual improver, looking for ways to help the team do better and be better, again and again

• Write maintainable, testable code and enjoy providing code reviews

• Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management;  experience with ETL processes and optimizing data pipelines for performance

• Be strong in Python, SQL, and PySpark

• Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant

• Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences