Senior DevOps Engineer (Azure)

About the job Senior DevOps Engineer (Azure) Location: Remote from Spain (an indefinite Spanish employment contract) We are hiring a DevOps Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. You will own CI/CD, infrastructure as code and environment consistency across the Azure estate, and you will be the primary counterpart to the client's platform team. Project Overview: Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. Requirements: 5+ years of DevOps or platform engineering, with recent hands-on Azure experience. Strong Terraform, Azure DevOps pipelines and Databricks Asset Bundles. Experience running Databricks in production: workspaces, Unity Catalog metastore, cluster policies, jobs, SQL Warehouses. Comfort with Azure identity, networking, storage and security fundamentals. Track record of building CI/CD for data platforms, not just application deployment. Experience with observability stacks (Datadog, Grafana, Azure Monitor or similar). Fluent working English. Nice to have FinOps Foundation certification or equivalent cost management experience. Active Databricks certifications Experience integrating MCP servers or agentic tooling with cloud and Databricks APIs. Financial services background. Responsibilities: Design and operate CI/CD pipelines in Azure DevOps for every domain team, using Databricks Asset Bundles as the deployment substrate. Manage Databricks workspaces, clusters, jobs and policies through infrastructure as code (Terraform). Own environment promotion (dev / test / prod), release governance and rollback. Set up observability across pipelines and platform components: logs, metrics, alerting and operational dashboards. Implement FinOps guardrails: autoscaling, cold-tier storage, cost tagging per domain and weekly cost reviews. Manage secrets, service principals, network configuration and identity integration with Azure AD. Automate quality gates, security scans and standards checks in the CI pipeline so generated and hand-written code both go through the same checks. Enable the agentic tooling loop by exposing platform APIs to MCP servers where appropriate. Why this position: Shape the delivery backbone of a large-scale enterprise data platform migration: building the CI/CD, environment and automation foundations that let engineering teams ship pipelines and domain migrations reliably across a 70+ sub-domain programme. You'll work hands-on with the leading edge of the Databricks ecosystem on a high-stakes lakehouse build, applying modern automation and agentic tooling to keep delivery fast and consistent as the platform scales.