We are hiring ambitious graduates who want to build strong foundations in modern data engineering in a supportive, high-performing environment.
At Hometrack, we are a true data-first company, built on modern data engineering platforms including Databricks, Azure, and AWS. You will join a team of like minded engineers building scalable, trusted, and market-leading data products. High-quality data engineering underpins everything we build and deliver.
This role combines real-world engineering delivery with training and formal certification support, fast-tracking your development into a high-impact, well-rounded data engineer.
Data Engineering Delivery
Build, maintain, and operate data pipelines that power Hometrack's core products. For example, our automated property valuation service is used by 18 of the top 20 mortgage lenders
Contribute to the ingestion, transformation, and validation of large, complex datasets
Ensure data quality, reliability, and performance in production environments, meeting defined SLAs
Collaboration \& Engineering Practice
Work closely with senior Data Engineers, Analytics Engineers, and Product partners to deliver high-quality data solutions
Participate in code reviews, design discussions, and team ceremonies, learning best practices in modern data engineering
Communicate clearly and effectively within a cross-functional engineering environment
Platform \& Tooling Exposure
Gain hands-on experience with best-in-class data platforms and tooling, including Databricks, cloud services (Azure and AWS), and modern data engineering practices
Learn how data pipelines are built, tested, deployed, and monitored using CI/CD and automation
Operational Support
Take ownership of well-defined business-as-usual (BAU) tasks as confidence grows, helping to reduce operational load on senior engineers
Assist with the investigation and resolution of data issues, developing strong analytical and debugging skills
Continuous Improvement
Contribute ideas to improve data quality, scalability, reliability, and developer experience
Develop a strong understanding of the property data landscape and how data drives customer and business outcomes
Essential Skills \& Experience
A strong academic background in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline
Excellent analytical and problem-solving skills, with a structured approach to ambiguous problems
Basic programming experience (e.g. Python, SQL, or similar), gained through university coursework, projects, or internships
A clear interest in data engineering and building production-grade data systems
Strong communication skills and the ability to work effectively as part of a team
A proactive, coachable attitude and genuine enthusiasm for learning
Training, Development \& Certification
Hometrack is committed to developing early-career engineers. As a Graduate Data Engineer, you will benefit from a structured, academy-style onboarding model, including:
Dedicated mentoring from experienced engineers
Clear onboarding milestones and expectations
Informal training and learning support
Active support to achieve industry-recognised certifications, including:
AWS certifications
Microsoft Azure certifications
Databricks certifications
Graduates are expected to be meaningfully contributing within their first few months, steadily increasing ownership and impact as skills and confidence grow.
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 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 - or membership in regional offices
7.5% pension contribution by the company
Discretionary annual bonus up to 10% of base salary
Talent referral bonus up to £5K
Hometrack delivers the market-leading valuation service to lenders and across the property technology and financial technology industries. Our primary commercial focus is on financial services, where we serve the mortgage lender segment, including 9 of the top 10 mortgage providers.
All qualified applicants will receive consideration for employment without regard to race, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.