At a Glance
- Tasks: Join our team to enhance customer reporting and analytics through innovative data visualisation.
- Company: Hometrack is transforming the mortgage journey with cutting-edge digital valuation and property data services.
- Benefits: Enjoy flexible working, generous leave, wellness perks, and a supportive work environment.
- Why this job: Be part of a mission-driven company that values collaboration and innovation in the property industry.
- Qualifications: Experience in data engineering, cloud networking, and data visualisation tools is essential.
- Other info: We celebrate diversity and encourage applications from underrepresented demographics in tech.
The predicted salary is between 48000 - 84000 £ per year.
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.
Seniority level: Mid-Senior level. Employment type: Full-time. Job function: Non-profit Organizations and Primary and Secondary Education.
Senior Data Engineer - Hometrack employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Hometrack
✨Tip Number 1
Familiarise yourself with Hometrack's products and services, especially their AVM and Mortgage Operations offerings. Understanding how these products work will allow you to speak confidently about how your skills can contribute to their goals during interviews.
✨Tip Number 2
Network with current or former employees of Hometrack on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your application process.
✨Tip Number 3
Showcase your experience with Databricks, Delta Lake, and data visualisation tools in your discussions. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Prepare to discuss how you embody the Houseful behaviours mentioned in the job description. Think of examples from your past work that illustrate your ability to collaborate, improve processes, and adapt to new technologies, as these traits are highly valued by Hometrack.
We think you need these skills to ace Senior Data Engineer - Hometrack
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies mentioned in the job description such as Databricks, Delta Lake, and ETL processes. Use specific examples to demonstrate your skills in Pandas, SQL, and PySpark.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building data products and how your experience aligns with Hometrack's mission. Mention your ability to collaborate with cross-functional teams and your commitment to continuous improvement.
Showcase Your Technical Skills: Include a section in your application that specifically lists your technical skills and tools you are proficient in, such as data visualisation tools like PowerBI or Tableau. This will help the hiring team quickly see your qualifications.
Demonstrate Cultural Fit: Reflect on Hometrack's Houseful behaviours in your application. Provide examples of how you've collaborated with others, set high standards, and embraced learning new technologies. This will show that you align with their company culture.
How to prepare for a job interview at Houseful
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Databricks, Delta Lake, and Lakehouse architecture. Highlight specific projects where you optimised data pipelines or implemented ETL processes, as this will demonstrate your ability to meet the technical requirements of the role.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams, be ready to share examples of how you've collaborated with colleagues in Product, Analytics, and Software. Discuss how you’ve explained complex technical concepts to non-technical audiences, showcasing your communication skills.
✨Demonstrate a Continuous Improvement Mindset
Hometrack values continual improvement, so come prepared with examples of how you've sought to enhance team performance or processes in previous roles. This could include initiatives you've led or suggestions you've made that resulted in measurable improvements.
✨Align with Company Values
Familiarise yourself with Hometrack's Houseful behaviours and think about how your personal values align with them. Be ready to discuss how you embody these behaviours in your work, particularly in terms of collaboration, accountability, and innovation.