Senior Data Engineer - Hometrack

Houseful

Hometrack, part of Houseful, is at the forefront of modernizing the mortgage journey for lenders, brokers, and consumers by offering a leading digital valuation and property data service. They cater mainly to financial services, serving notable mortgage lenders, including top-tier providers. The role of Senior Data Engineer exists to drive technological advancements, ensuring efficient and innovative solutions within their product ecosystem.

In this role you can expect to have the responsibilities:

• Lead the team in making strategic technical decisions.
• Ensure accountability for the team's success and outcomes.
• Continuously seek improvements for team performance.
• Write maintainable and testable code and conduct code reviews.
• Utilize tools like Databricks, Delta Lake, and Lakehouse architectures for efficient data management.
• Optimize data pipelines and ETL processes.
• Apply strong skills in Pandas, SQL, and PySpark.
• Implement cloud networking principles, particularly within Azure environments.
• Ensure compliance with GDPR architecture standards.
• Use data visualization tools such as PowerBI, Tableau, or Metabase.
• Collaborate with colleagues from Product, Analytics, Security, and Software teams.

This role comes with the following benefits:

• Everyday Flex for work-time flexibility
• 25 days annual leave with additional days for tenure
• Days off for volunteering and digital detox
• Festive Closure during 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
• On-site gym in London
• 7.5% company pension contribution
• Discretionary annual bonus up to 10% of base salary
• Talent referral bonus up to £5K

This role requires you to have:

• Leadership in technical decision-making
• Ability to write and review maintainable code
• Experience with Databricks, Delta Lake, and Lakehouse architecture
• Strong knowledge of data pipelines and ETL processes
• Proficiency in Pandas, SQL, and PySpark
• Understanding of cloud networking principles and Azure

You would benefit from having:

• Experience with GDPR compliant architecture
• Skill in using data visualization tools like PowerBI, Tableau, or Metabase

Houseful is committed to diversity and welcomes applicants from all backgrounds, providing an inclusive working environment that values differences. They encourage applications from underrepresented demographics in technology to contribute to a fair and representative industry.