Senior & Mid-Level Data Platform Engineers
Summary
Senior and mid-level data platform engineers design and run Azure/Snowflake-based data platforms (Data Factory, Data Lake, Azure ML, Power BI/Fabric), using Terraform for infrastructure-as-code and Azure DevOps/GitHub Actions CI/CD, with a strong focus on observability. Onsite role near Aldenham, UK, at £100,000 per year.
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.
- 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.
- 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