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Houseful

Senior Data Engineer

Posted 11 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
The Senior Data Engineer will build data visualization layers, optimize data pipelines, and lead technical decision-making while collaborating across teams.
The summary above was generated by AI

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 customer reporting and analytics data visualisation layer. By building new experiences to showcase our AVM and Mortgage Operations product performance and the effectiveness of their decision strategy we're helping lenders increase how many automated property risk decisions they make, driving operational efficiencies and a better consumer experience. 

At Hometrack we are redefining the mortgage journey for lenders, brokers, and consumers by providing the market-leading digital valuation, property risk decisioning, and property data service. Our key commercial and go-to market segment is financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.

Come help us select and develop the technology that will help Hometrack evolve from where we are to where we want to be.

What we’re looking for in a Senior Data Engineer:

  • Have experience leading your team to make good technical decisions to enable commercial goals
  • 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 Pandas, SQL, and PySpark
  • Have a strong understanding of cloud networking principles, including Azure Virtual Networks, Private Endpoints, secure connectivity strategies
  • Have experience or knowledge with GDPR compliant architecture
  • Have experience with data visualization tools such as PowerBI, Tableau, or Metabase
  • 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

We want our new joiners to relate to and champion our Houseful behaviours:

  • Build Together: you collaborate, you support and mentor colleagues
  • Set the Bar Higher: with your professional experience and personal passion
  • Know your Audience: you’re driven to solve customer problems
  • Own It: comfortable in a dynamic environment, with a degree of uncertainty
  • Re-imagine: comfortable learning new technologies and tools on the job

Our mission is to make Houseful more welcoming, fair and representative every day.
All qualified applicants will be considered for employment regardless of ethnicity, colour, nationality, religion, sexual orientation, gender, gender identity, age, disability, neurodiversity, family or parental status, or time unemployed. We’re re-imagining the property industry to make it work for everyone, so we actively welcome applications from demographics that are underrepresented in technology.


Benefits
  • Everyday Flex - greater flexibility over where and when you work
  • 25 days annual leave + extra days for years of service
  • Day off for volunteering & Digital detox day
  • Festive Closure - business closed for a 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
  • 7.5% pension contribution by the company
  • Discretionary annual bonus up to 10% of base salary
  • Talent referral bonus up to £5K

Top Skills

Azure
Databricks
Delta Lake
ETL
Lakehouse
Metabase
Pandas
Power BI
Pyspark
SQL
Tableau
HQ

Houseful London, England Office

The Cooperage, 5 Copper Row, London, United Kingdom, SE1 2LH

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