Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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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, 25 days leave, volunteering days, and health perks.
  • Why this job: Make a real impact in the property industry while developing your skills.
  • Qualifications: Experience in data engineering, cloud networking, and data visualisation tools.
  • Other info: Inclusive culture with opportunities for growth and learning new technologies.

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. 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 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.

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 employer: Houseful Limited

Hometrack is an exceptional employer that champions a collaborative and innovative work culture, offering a hybrid working model from our vibrant London Bridge office. With a strong focus on employee growth, we provide extensive benefits including flexible working hours, generous annual leave, and unique perks like a day off for volunteering and a digital detox day, all aimed at fostering a supportive environment where you can thrive both personally and professionally.
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Contact Detail:

Houseful Limited 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 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. Make sure you can confidently discuss Databricks, SQL, and data visualisation tools. We want to see you shine when it comes to showcasing your expertise!

✨Tip Number 3

Show your passion for data engineering! During interviews, share examples of how you've improved processes or contributed to team success. We love to see candidates who are genuinely excited about building data products.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who align with our mission to redefine the mortgage journey.

We think you need these skills to ace Senior Data Engineer

Data Engineering
Databricks
Delta Lake
Lakehouse Architecture
ETL Processes
Pandas
SQL
PySpark
Cloud Networking Principles
Azure Virtual Networks
GDPR Compliant Architecture
Data Visualisation Tools
PowerBI
Tableau
Metabase

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 building data products and how you can help us redefine the mortgage journey. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Technical Skills: In your application, don't shy away from showcasing your technical prowess. Mention your experience with SQL, PySpark, and cloud networking principles. We’re keen on seeing how you’ve used these skills to drive commercial goals in your previous roles.

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 serious about joining our team!

How to prepare for a job interview at Houseful Limited

✨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, show that you’re always looking for ways to enhance processes and outcomes.

✨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, particularly in the financial services sector, and be prepared to share those insights.

Senior Data Engineer
Houseful Limited
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