Senior Data Engineer at Houseful

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Technical Decision Making, Team Accountability, Code Reviews, Databricks, Delta Lake, Lakehouse Architecture, ETL Processes, Data Pipelines, Pandas, SQL, PySpark, Cloud Networking, Azure, Data Visualization, Collaboration

Industry

Information Services

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 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. 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

Responsibilities

The Senior Data Engineer will help deliver customer reporting and analytics data visualization layers. They will build new experiences to showcase product performance and decision strategy effectiveness.