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- Tasks: Lead the development of data solutions to enhance customer reporting and analytics.
- Company: Join a forward-thinking company redefining the mortgage journey for lenders and consumers.
- Benefits: Enjoy flexible working, generous leave, and a day off for volunteering.
- Why this job: Make a real impact in the property industry with innovative data products.
- Qualifications: Experience in data engineering, cloud networking, and data visualisation tools required.
- Other info: Be part of a diverse team committed to inclusivity and continuous improvement.
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’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.
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.
Senior Data Engineer employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Get comfortable explaining your thought process and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Hometrack.
We think you need these skills to ace Senior Data Engineer
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!
Showcase Your Projects: Include specific examples of projects where you've led a team or made significant technical decisions. This helps us understand your impact and how you can contribute to our goals at Hometrack. Don't be shy about sharing your successes!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and skills. We appreciate a well-structured application that gets straight to the point—no fluff, just the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
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 ETL processes and optimising data pipelines.
✨Showcase Your Collaboration Skills
Hometrack values teamwork, so be prepared to share examples of how you've collaborated with colleagues from different departments. Highlight any experiences where you explained complex technical concepts to non-technical audiences.
✨Demonstrate Continuous Improvement
Talk about how you've contributed to team success by seeking out ways to improve processes or code quality. Mention specific instances where your input led to better outcomes, showcasing your commitment to being a continual improver.
✨Understand the Business Impact
Be ready to discuss how your work as a Senior Data Engineer can drive commercial goals. Show that you understand the importance of building data products that are not only technically sound but also enhance the customer experience for lenders and brokers.
