Senior & Mid-Level Data Platform Engineers

Salary: £100,000 - 100,000 per year

Requirements:

• Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions.
• Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric.
• Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions.
• Strong grasp of observability practices, including logging, metrics, alerting, and performance optimisation.
• Deep understanding of cloud security, with experience applying secure-by-design principles in Azure and/or Snowflake, such as network isolation, IAM, and data protection.
• Proficiency in scripting and automation using PowerShell, Bash, or Python.
• Collaborative mindset, with a proven track record of working effectively across engineering, data science, and business teams.
• Clear communicator, capable of documenting technical designs, contributing to platform standards, and presenting solutions to stakeholders.
• Leadership experience, including mentoring junior engineers and fostering a culture of continuous improvement and knowledge sharing, highly desirable.
• Expert Terraform knowledge and at least 5 years of experience.
• Experience with certifications is highly desirable.

Responsibilities:

• Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components.
• Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments.
• Build and optimise 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 monitoring.
• Contribute to shaping a robust, automated data platform that supports advanced analytics and business intelligence.
• Ensure compliance, performance, security, and technical excellence across the platform.

Technologies:

• AI
• Azure
• Bash
• Business Intelligence
• CI/CD
• Cloud
• DevOps
• Fabric
• GitHub
• IAM
• Support
• Network
• Power BI
• PowerShell
• Python
• Security
• Snowflake
• Terraform

More:

We are a global healthcare and insurance organisation making a real difference to peoples lives. We are hiring experienced senior or mid-level Data Platform Engineers to join our AI and Data Platform teams in a platform engineering role, not a data engineering position. This is a fully remote role with occasional travel to one of our offices in London or Manchester when needed. We offer a large bonus and excellent benefits, and we are interviewing now for immediate consideration.

last updated 36 week of 2026