How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Engineer
Senior Data Engineer (Hybrid – 2 Days/London Bridge Office)
About Hometrack
Hometrack is seeking an experienced Senior Data Engineer to join our Product Team, helping us deliver Hometrack’s Data Services ambitions. By curating the best property data sets available, which underpin the market-leading Automated Valuation Model (AVM)—trusted by 17 of the UK’s top 20 mortgage lenders—we enable customers to make critical decisions: to buy, to lend, to build.
The Data Services Team
Our team supports hundreds of customers across the property sector, including:
- Mortgage lenders
- House builders
- Property investors
- FinTech & PropTech firms
- Insurers
- Telecoms & retail providers
- Utilities industries
- Other housing market stakeholders
Our mission is to empower decision-makers by placing the UK’s most trusted property data and insights at the heart of the sector’s ecosystem.
A diverse product range is delivered via multiple mechanisms:
- Data platforms
- Market reports
- APIs
- Customised solutions
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About the Role
Hometrack is looking for an experienced Senior Data Engineer to help realise our data ambitions.
Key Responsibilities
As a Senior Data Engineer, you will:
- Take accountability for team outcomes, contributing to goals and shaping success through measurable impact.
- Drive continuous improvement, fostering a culture of innovation to enhance efficiency and effectiveness.
- Write maintainable, testable code with a focus on best practices and collaboration, including code reviews.
- Engineer scalable, high-performance data pipelines optimised for speed and reliability.
- Ensure data product stability, security, accuracy, observability and performance—balancing technical excellence with user needs.
- Collaborate closely across Product, Analytics, Security and Software teams, translating technical concepts for non-technical stakeholders.
Technical Focus
Essential:
- Proven expertise in Databricks, Delta Lake and Lakehouse architectures, driving efficient data governance.
- Hands-on experience with ETL processes, including unification of raw, structured and unstructured data sources.
- SQL & PySpark mastery, leveraging them for optimised query performance.
- Strong preference for Python (core framework) but open to Scala if relevant.
- A track record of building and delivering data products, ensuring seamless customer interaction.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Requirements
- Broad, senior-level data engineering experience with incremental input into product strategy.
- Strong foundation in modern data warehouse and data lake management, including scheduling, batch and real-time pipelines.
- Aptitude for data governance, security and compliance; able to justify architectural decisions with key stakeholders.
- Problem-solving mindset with a keenness to explore and scale novel areas (AI/ML pipelines included).
- Experience as a collaborative engineer, comfortable mentoring juniors and facilitating team growth.
Hybrid Working Pattern
- 2 days per week at our London Bridge Office.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location