GCP Data Engineer — Build Scalable Analytics Platform

Homeprotect Home Insurance

Greater London

On-site

GBP 65,000 - 90,000

Full time

5 days ago
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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

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.

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