Senior Data Platform Engineer - Azure @ Bupa

Job Description:Senior Data Platform Engineer – AzurePrimary location: Salford (M50 3SP) or Staines (TW18 3DZ) or London (EC2R 7HJ) Flexible / Hybrid working options. PermanentSalary Negotiable depending on experience & location 10% Bonus+ fantastic benefitsFull time 37.5 hoursWe consider all types of flexibility, including locations, hours and working patterns.We make health happenAt Bupa, we’re passionate about technology. With colleagues, customers, patients and residents in mind you’ll have the opportunity to work on innovative projects and make a real impact on their lives.Right from the start you’ll become part of our digital & data strategy, joining us on our journey and developing yourself along the way.Join our team as a Senior Platform Engineer, where you'll contribute to the design and operation of a scalable, secure enterprise data platform supporting advanced analytics and business intelligence in a healthcare and insurance setting. You'll work with high autonomy, mentor junior engineers, and drive technical excellence while ensuring compliance and performance. This is a key role in shaping a robust, automated data platform that powers better patient care and smarter insurance services.How you’ll help us make health happen:Contribute to the design and delivery of robust, automated, and scalable Azure data platform components.Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments.Build and optimize CI/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments.Implement observability practices including logging, metrics, and alerting using observability tools.Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns.Provide technical guidance and mentorship to mid-level engineers, promoting best practices in automation and. monitoringKey Skills / Qualifications needed for this role:Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions.Expert-level knowledge of Azure services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric.Proven experience with infrastructure-as-code using Terraform and…

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