Senior Devops Engineer I

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.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.Experience integrating MCP servers or agentic tooling with cloud and Databricks APIs.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.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.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.

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. 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. Experience integrating MCP servers or agentic tooling with cloud and Databricks APIs.

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.