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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior GCP Data Engineer - **Company:** Homeprotect - **Location:** New Malden, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Automation of Tests, BigQuery, Cloud Storage, Cyber Security, Information Engineering, Data Flow Control, Scrum Methodology, Data Streaming, Data Logging, File Transfer Protocol (FTP), Data Ingestion, Star Schema, Apache Kafka, Data Management, Terraform, Data Pipelines - **Published:** May 23, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=e10fb8697a51562a ## About the Role Do you have experience in Terraform?, * 5+ years' experience as a Data Engineer, including building and operating production-grade data pipelines and data products. * 3+ years building on GCP in a production environment. * Deep, hands-on dbt expertise in production, including designing layered projects (staging, intermediate, marts), implementing robust testing and documentation, and operating patterns such as incremental models, handling schema changes safely and managing late-arriving data and backfills without breaking downstream marts * Strong dimensional modelling expertise, including declaring and enforcing grain as a design contract, delivering fact and dimension tables with conformed dimensions, and handling real-world complexity such as slowly changing dimensions (Type 1 and Type 2), late-arriving facts, and maintaining consistent business definitions across marts over time. * Strong ability to design and implement reliable data pipelines and make good engineering trade-offs. * Strong hands-on experience with; BigQuery, Cloud Storage (GCS), Cloud Run/Functions, Cloud Composer (Airflow) or equivalent orchestration tooling * Experience designing and operating pipelines across multiple ingestion patterns, including CDC, APIs, SFTP, streaming etc. * Strong understanding of medallion architecture (Bronze, Silver, Gold) and how to implement it in a modern analytics platform. * Strong experience working within Agile methodologies (Scrum) and contributing positively to team rituals and delivery cadence. * Strong communication: you can explain technical decisions clearly to engineers and non-engineers, and you document just enough to scale delivery. Nice to have * GCP certification (Professional Data Engineer or similar). * Hands-on experience with Terraform, Kafka, Dataflow, Pub/Sub. * Experience in regulated domains (insurance, finance, etc). ## Description 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 senior 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., 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., We're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. We believe in celebrating difference - everything that makes both our customers and our people unique. We consider visa sponsorship on a case by case basis for the right candidate, so please don't let that stop you from applying. We encourage you to let us know if you need any extra help with your application or have any requirements at any stage of the recruitment journey, we want the process to work for you. Your data will be maintained in line with our recruitment data privacy policy. Regulatory Responsibilities 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. You'll work within approved processes and authority limits, keep accurate and auditable records, protect data under UK GDPR and our information security policies, escalate risks and exceptions promptly, report incidents, breaches and any financial crime or sanctions concerns (including via whistleblowing), support vulnerable customers with reasonable adjustments, and complete all mandatory training to maintain competence. If the role falls within SM&CR, a supplementary document outlining the key regulatory responsibilities will be provided. ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Got AI ideas but no money? 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