Senior Data Engineer

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📍 London, England, United KingdomFull time💰 GBP 5K+

About this role

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

  • 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
  • Talent referral bonus up to £5K

Frequently Asked Questions

What is the salary for the Senior Data Engineer role at Hometrack?
The listed salary for this Senior Data Engineer position at Hometrack is GBP 5K+. This is an Full time role.
Where is the Senior Data Engineer position at Hometrack located?
This Senior Data Engineer role at Hometrack is based in London, England, United Kingdom. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Data Engineer role at Hometrack full-time or part-time?
This is listed as a Full time position. It is posted as a Senior Data Engineer role at Hometrack.
How do I apply for the Senior Data Engineer position at Hometrack?
Click the "Apply Now" button on this page. You will be redirected to Hometrack's official application portal hosted on workable where you can submit your application directly.
When was the Senior Data Engineer job at Hometrack posted?
This Senior Data Engineer position at Hometrack was posted on Sep 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Data Engineer
Hometrack · 💰 GBP 5K+
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