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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Data Platform Engineer - **Company:** Homeprotect Home Insurance - **Location:** Greater London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, BigQuery, Cloud Engineering, Cloud Storage, Continuous Integration, Information Engineering, Data Infrastructure, Data Sharing, Data Flow Control, Identity and Access Management, Operational Databases, Cloud Services, Data Logging, Cloud Platform System, Data Ingestion, Azure Data Factory, Data Layers, Kubernetes, Google Cloud Functions, Data Analytics, Data Management, Cloud Integration, Terraform, Data Pipelines - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2842869319-gcp-data-platform-engineer ## About the Role * Experience working as a GCP Platform Engineer, Data Platform Engineer, Cloud Engineer or Infrastructure Engineer supporting production data workloads. * Strong hands-on experience with GCP in a production environment. * Working knowledge of Azure data or cloud platform services, with the ability to support cross-cloud integration or migration activity where required. * Strong experience with Terraform and infrastructure-as-code. * Experience designing reusable cloud platform patterns, templates and standards. * Experience provisioning and supporting GCP services used for data workloads. * Experience implementing IAM, service account and access control patterns for cloud services. * Experience supporting orchestration platforms such as Cloud Composer or Airflow. * Experience implementing monitoring, alerting, logging and operational dashboards for production cloud services. * Experience designing, implementing or supporting CI/CD patterns for infrastructure, platform services and data workload deployment. * Good understanding of data platform architecture, including ingestion, orchestration, storage, processing, governance and analytical access. * Understanding of Bronze, Silver and Gold data layers and how platform decisions support modern data engineering delivery. * Ability to make pragmatic trade-offs across reliability, security, cost, delivery speed, maintainability and operational complexity. * Strong communication skills, with the ability to explain platform decisions clearly to engineers, stakeholders and non-specialists. * Experience working in Agile delivery teams., As an FCA regulated insurer, doing the right thing isn't a compliance requirement - it's simply how we work. All colleagues are expected to uphold the FCA Individual Conduct Rules (1-6) and act with integrity, due skill and care, openness with regulators and a genuine commitment to delivering good outcomes for our customers. ## Description The GCP Data Platform Engineer will provide specialist platform engineering capability for HomeProtect's GCP Data Analytics Platform. The role will focus on building and maintaining reusable, secure and production-ready platform patterns that enable Data Engineers to deliver data pipelines, data products and analytical services safely and efficiently., * Design, build and maintain the GCP platform capabilities required to support HomeProtect's data analytics platform. * Create and maintain reusable infrastructure-as-code patterns, templates and standards for data platform services. * Provide secure and reliable platform foundations for data ingestion, orchestration, processing, analytical access and data sharing. * Support the configuration and operation of core GCP data platform services, including BigQuery, Cloud Storage, Cloud Composer, Cloud Run, Pub/Sub, Dataflow, Dataplex and Analytics Hub. * Define and maintain access control patterns for data workloads, including IAM, service accounts, users, datasets and shared services. * Build and support deployment and environment promotion patterns for data platform infrastructure and services. * Support integration with existing Azure data platform services where required, particularly during migration, coexistence and transition activities. * Own and improve CI/CD patterns for data platform infrastructure and services, ensuring changes can be tested, promoted and released safely across environments. * Provide platform-level observability, including monitoring, alerting, logging, dashboards and operational tooling for production data services. * Support platform-level controls for reliability, security, cost, quota management, performance and operational resilience. * Create and maintain technical documentation, platform standards, ADRs and runbooks for data platform services. * Work closely with Data Engineers, the wider platform team and security teams to ensure data platform capabilities are delivered safely, consistently and in line with business priorities. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Platform Engineering vs. DevOps Why not both?](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Making Data Warehouses fast. 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