Senior Azure Data & AI Platform Engineer

Howden Group Services Limited; City Of London; Remote; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Remote-first

Learning budget

Equipment provided

Career growth

Job summary

Howden Group Services Limited is seeking a Senior Platform Engineer to design and operate an Azure-based data and AI platform. The role covers Azure landing zones, network architecture, Databricks governance, and MLOps pipelines.

You will implement secure, scalable infrastructure and CI/CD processes for global teams. The candidate will work hands-on with Terraform, Bicep, Azure DevOps or GitHub Actions, and ensure best practices for security, cost control, and observability across data platforms

Qualifications

• 5+ years platform/infrastructure engineering experience on production platforms.
• Deep Azure knowledge across networking, IAM, storage and PaaS services.
• Databricks deployment and Unity Catalog experience.
• Infrastructure as Code using Terraform or equivalent.

Responsibilities

• Design and implement Azure landing zones and subscription architecture.
• Build secure hub-spoke network topologies and governance.
• Set up CI/CD pipelines with security scanning and IaC gating.
• Develop MLOps pipelines and model deployment patterns.
• Create self-service tooling and documentation for engineers.

Skills

Azure

Databricks

Terraform

CI/CD

MLOps

Python

PowerShell

Security by design

OCI/Cloud cost

Tools

Terraform

Bicep

Azure DevOps

GitHub Actions

Databricks

Azure Monitor

Job description

Howden Group Services Limited is seeking a Senior Platform Engineer to design and operate an Azure-based data and AI platform. The role covers Azure landing zones, network architecture, Databricks governance, and MLOps pipelines.

You will implement secure, scalable infrastructure and CI/CD processes for global teams. The candidate will work hands-on with Terraform, Bicep, Azure DevOps or GitHub Actions, and ensure best practices for security, cost control, and observability across data platforms