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- Tasks: Build and maintain data pipelines for innovative property valuation services.
- Company: Join Hometrack, a leading data-first company in the property tech industry.
- Benefits: Enjoy flexible working, 25 days leave, and support for professional certifications.
- Why this job: Kickstart your career in data engineering with hands-on experience and mentorship.
- Qualifications: Strong academic background in a technical field and basic programming skills.
- Other info: Dynamic environment with opportunities for growth and impactful contributions.
The predicted salary is between 28800 - 48000 £ per year.
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.
- 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.
Graduate Data Engineer employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Hometrack on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Graduate Data Engineer role.
✨Tip Number 2
Prepare for technical interviews by brushing up on your programming skills, especially in Python and SQL. Practice coding challenges and be ready to discuss your projects and how you’ve tackled complex problems.
✨Tip Number 3
Show your enthusiasm for data engineering! During interviews, share your passion for building data systems and how you keep up with industry trends. This will help you stand out as a candidate who’s genuinely interested in the field.
✨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 serious about joining the Hometrack team and ready to dive into the world of data engineering.
We think you need these skills to ace Graduate Data Engineer
Some tips for your application 🫡
Show Your Passion for Data Engineering: When you're writing your application, let your enthusiasm for data engineering shine through! Share any projects or experiences that sparked your interest in the field, and don't forget to mention your programming skills, like Python or SQL.
Tailor Your Application: Make sure to customise your application to reflect the job description. Highlight relevant coursework, internships, or projects that align with the responsibilities of a Graduate Data Engineer at Hometrack. We want to see how you fit into our data-first culture!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and structure your thoughts logically. This will help us understand your background and skills quickly, making it easier for us to see your potential as part of our team.
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’re considered for the role. Plus, it shows you’re proactive and keen to join our awesome team!
How to prepare for a job interview at Houseful
✨Know Your Data Engineering Basics
Brush up on your foundational knowledge in data engineering, especially around concepts like data pipelines, ETL processes, and cloud platforms like Azure and AWS. Be ready to discuss any relevant coursework or projects that showcase your understanding of these topics.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach ambiguous problems and be ready to explain your thought process clearly. Use examples from your academic or project work to illustrate your analytical skills.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your ideas and experiences clearly. Be prepared to discuss how you've worked in teams before and how you can contribute to a cross-functional environment. Good communication can set you apart!
✨Express Your Enthusiasm for Learning
Hometrack values a proactive and coachable attitude. Share your passion for data engineering and your eagerness to learn new tools and technologies. Mention any certifications you're interested in pursuing, like AWS or Databricks, to show your commitment to professional growth.