At a Glance
- Tasks: Join our team to build innovative data solutions and enhance customer reporting.
- Company: Hometrack, a leader in redefining the mortgage journey with cutting-edge technology.
- Benefits: Flexible working, generous leave, wellness perks, and a supportive work environment.
- Why this job: Make a real impact in the property industry while developing your skills.
- Qualifications: Experience in data engineering, strong coding skills, and a passion for collaboration.
- Other info: Diverse and inclusive workplace committed to professional growth and community engagement.
The predicted salary is between 36000 - 60000 £ 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 are 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.
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 optimising 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 visualisation 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.
Senior Data Engineer (Hiring Immediately) in London employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Hometrack or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of the company’s products. Dive into their data visualisation tools and be ready to discuss how you can contribute to their mission.
✨Tip Number 3
Showcase your passion for data engineering! During interviews, share examples of projects where you’ve made a significant impact. This will help us see how you align with our values of building together and setting the bar higher.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Hometrack.
We think you need these skills to ace Senior Data Engineer (Hiring Immediately) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Senior Data Engineer role. Highlight your experience with Databricks, Delta Lake, and any relevant data visualisation tools like PowerBI or Tableau. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about redefining the mortgage journey and how your experience can help us achieve our goals. Keep it engaging and personal – we love a good story!
Showcase Your Team Spirit: At StudySmarter, we value collaboration. In your application, mention specific examples of how you've worked with teams to make technical decisions or improve processes. We want to know how you build together with others!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Houseful
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Databricks, Delta Lake, and Lakehouse architecture. Be ready to discuss how you've used these technologies in past projects, especially in relation to optimising data pipelines and ETL processes.
✨Showcase Your Collaboration Skills
Hometrack values teamwork, so be prepared to share examples of how you've collaborated with cross-functional teams. Highlight any experiences where you explained complex technical concepts to non-technical colleagues, as this will demonstrate your ability to communicate effectively.
✨Demonstrate Continuous Improvement
Talk about how you've contributed to team improvements in the past. Whether it's through code reviews or suggesting new tools, showing that you're a continual improver aligns perfectly with what Hometrack is looking for.
✨Understand the Business Impact
Be ready to discuss how your work as a Senior Data Engineer can drive commercial goals. Think about how your technical decisions have positively impacted business outcomes in previous roles, and be prepared to articulate this during the interview.