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Hometrack

Automated valuations for residential property market

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Experience with Databricks, Delta Lake, Lakehouse architecture, ETL processes, and optimizing data pipelines for performance.
  • Strong Python, SQL, and PySpark skills.
  • Ability to build stable, scalable, secure, accurate, observable, and performant data products for stakeholders and customers.
  • Ability to collaborate with Product, Analytics, Security, and Software colleagues and explain technical concepts to non-technical audiences.

Responsibilities

  • Write maintainable, testable code and provide code reviews.
  • Contribute to team outcomes and goals, ensuring individual contributions positively impact overall success.
  • Improve team processes and performance continuously.
  • Build data products for stakeholders and customers.

About the Company

Hometrack

Automated valuations for residential property market

Hometrack provides fast, accurate market intelligence and automated valuations for the residential property market. Its core product is an automated valuation model (AVM) that produces valuations using large Property data sets and runs at scale—over 50 million automated valuations each year. The company serves lenders, investors, advisers, developers and housing associations to help decide where to invest, what to lend on, and how to optimize assets. Hometrack differentiates itself through a long track record (founded in 1999), scale, and leadership in AVMs (including being a founding member of the European AVM Alliance) and by delivering data-driven insights rather than relying on manual appraisals. Its goal is to provide reliable, timely market information and valuations to support decision-making across the property ecosystem.

Company size
51-200
Company stage
Acquired
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1999

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