At a Glance
- Tasks: Build a cutting-edge GCP Data Analytics Platform and deliver impactful data products.
- Company: Join Homeprotect, a leader in innovative home insurance solutions.
- Benefits: Flexible working, competitive salary, and a supportive team culture.
- Other info: Recognised as a Great Place to Work for seven consecutive years.
- Why this job: Make a real difference while growing your career in a dynamic environment.
- Qualifications: Experience in GCP engineering, dbt, and data modelling is essential.
The predicted salary is between 56700 - 69300 £ per year.
We founded Homeprotect on a simple principle - to provide protection to people underserved by the home insurance industry. Since 2002, we've been combining smart technology with real human expertise to protect hundreds of thousands of unique homes across the UK, and we're just getting started.
If you're someone who loves solving interesting problems, taking ownership and working with a team that aims high, speaks up and lifts each other, Homeprotect is a place where you can do meaningful work, grow your career and make a real difference for our customers.
Our customers come from all walks of life and so do our people. We're a small but perfectly formed team of insurance specialists, technologists, data scientists and customer champions - all bringing individual expertise, an appetite for innovation and a shared ambition to protect the homes and things people love.
We work at pace, but we trust our people to work in a way that brings out their best. You'll collaborate closely across teams, have real ownership from day one and see the impact you have first-hand with flexible working to help you balance the needs of your role with the rhythm of your life.
We've been recognised as a Great Place to Work UK for seven consecutive years - most recently ranked 29th nationally, jumping 71 places in a single year.
ROLE PURPOSE
This is a unique opportunity to join HomeProtect at the start of building a brand new GCP Data Analytics Platform. We are looking for an enthusiastic, experienced engineer who can help architect and deliver a best-in-class platform from the ground up, with a strong focus on production-grade GCP engineering, dbt, and dimensional modelling.
You will report to the Head of Data Engineering and work closely with the data engineering and platform teams to deliver reliable ingestion patterns, maintainable dbt transformations, and well-designed dimensional marts that enable business insight.
Key Responsibilities
- Delivery across the data lifecycle
- Deliver end-to-end data products on GCP, from onboarding new sources through to curated datasets, marts, and business-facing outputs.
- Build and operate ingestion pipelines using appropriate patterns (CDC, APIs, SFTP, streaming), ensuring reliability, scalability, and operational simplicity.
- Build and improve transformation workflows in the warehouse using dbt, with a strong focus on correctness, performance, and cost control.
- Design and implement dimensional models that are fit for analytics at scale, including facts, dimensions, explicit grain definition, and star schema design.
- Translate business requirements into clear dimensional designs and dbt models, validating outputs with stakeholders and iterating quickly.
- Work in an Agile way: contribute to planning, estimation, delivery cadence, and continuous improvement.
- Maintain a strong focus on delivering measurable value to stakeholders, prioritising work that improves decision making and accelerates insights aligned with business needs.
Operational excellence and quality
- Design pipelines and jobs to be production-grade: idempotent, observable, resilient to failure, and easy to support.
- Champion automated testing and release practices so changes can be safely promoted through environments with minimal manual effort.
- Contribute to operational tooling (logging, alerting, runbooks, dashboards) so the team can rapidly detect issues and restore service.
Essential KNOWLEDGE, SKILLS & EXPERIENCE
GCP Data Engineer employer: Homeprotect Home Insurance
Homeprotect is an exceptional employer that prioritises the growth and wellbeing of its employees while fostering a collaborative and innovative work culture. With a strong commitment to professional development, flexible working arrangements, and a focus on community engagement, employees can thrive in their roles and make a meaningful impact in the home insurance industry. Recognised as a Great Place to Work UK for seven consecutive years, Homeprotect offers a supportive environment where diverse talents come together to protect homes across the UK.
Contact Details:
Homeprotect Home Insurance Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer
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We think you need these skills to ace GCP Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Homeprotect Home Insurance
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
