Hybrid Azure Data Platform Engineer (Terraform + Snowflake)

Bupa; Salford; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

25 days holiday

Health insurance

Pension

Yearly bonus

Onsite gym

Employee discounts

Job summary

Bupa UK is seeking a Data Platform Engineer to design, build and operate cloud data infrastructure powering analytics and data science. The role emphasises Azure and Snowflake, Infrastructure as Code, and platform operations within a regulated environment.

You will collaborate with engineers and data teams to create secure, scalable environments, develop CI/CD pipelines, and contribute to observability and automation across the data platform.

Qualifications

• Mandatory: HashiCorp Terraform certification or equivalent IaC expertise.
• Hands-on with Azure data services (Data Factory, Data Lake, Power BI/Fabric).
• Experience with Snowflake or other cloud data platforms.

Responsibilities

• Design, build and maintain core Azure and Snowflake data platform components.
• Develop and maintain Infrastructure‑as‑Code using Terraform for repeatable deployments.
• Build and run CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Contribute to platform monitoring with observability tooling (logging, metrics, alerts).
• Troubleshoot platform issues and escalate as needed.
• Collaborate with engineers and data teams to provision secure, performant environments.
• Contribute to documentation, runbooks and operating procedures.

Skills

Terraform

Azure

Snowflake

CI/CD pipelines

Monitoring tools

Scripting

Education

HashiCorp Terraform certification

Tools

Azure DevOps

GitHub Actions

Job description

Bupa UK is seeking a Data Platform Engineer to design, build and operate cloud data infrastructure powering analytics and data science. The role emphasises Azure and Snowflake, Infrastructure as Code, and platform operations within a regulated environment.

You will collaborate with engineers and data teams to create secure, scalable environments, develop CI/CD pipelines, and contribute to observability and automation across the data platform.