GCP Data Engineer

Homeprotect Home Insurance; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Homeprotect Home Insurance is building a new GCP-based Data Analytics Platform. You will join as a Data Engineer to architect and deliver production-grade data pipelines and dimensional models, reporting to the Head of Data Engineering. The role focuses on end-to-end data delivery with modern tooling and fast-paced development.

You will collaborate with data engineering and platform teams to ensure scalable ingestion, robust dbt transformations, and stakeholder-aligned analytics delivery.

Qualifications

• Experience building data pipelines on GCP (ingestion, storage and analytics).
• Strong dbt experience for transformation workflows.
• Knowledge of dimensional modelling and star schema design.
• Experience delivering production-grade data platforms in Agile teams.

Responsibilities

• Deliver end-to-end data products on GCP, from onboarding sources through to curated datasets, marts and business-facing outputs.
• Build and operate ingestion pipelines using CDC, APIs, SFTP and streaming.
• Build and improve transformation workflows in the warehouse using dbt, focused on correctness and performance.
• Design dimensional models for analytics at scale and validate outputs with stakeholders.
• Work in an Agile environment, contributing to planning, estimation and delivery cadence.
• Maintain focus on delivering measurable value to stakeholders and accelerate insights.

Skills

GCP

dbt

Dimensional modelling

Data engineering

Job description

Cover for Almost every Home
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.

About Homeprotect
Cover for Almost every Home
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.
What It's Like To Work Here
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

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