ph3Cloud Engineer, Data Platforms /h3 pbLocation: /b Madrid, Spain | London, UK /p pbEmployment Type: /b Full Time (Hybrid role) /p h3Key Responsibilities /h3 ul liDatabricks platform engineering (Azure): Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services. /li liProduction readiness: Enable a clear path to production environments, including operational processes, runbooks, incident response practices, and release readiness. /li liPipeline reliability: Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning. /li liAutomation CI/CD: Implement infrastructure‑as‑code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform, Bicep, Azure DevOps, GitHub). /li liSecurity access: Implement least‑privilege access, secrets management, identity integration, auditability, and compliance‑aligned controls in partnership with Security/ Governance. /li liObservability operations: Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery. /li liEmbedded delivery support: Participate in Madrid‑based team stand‑ups and planning; manage an agreed backlog of tasks that unblock AI for ALL and analytics delivery. /li /ul h3Essential Requirements /h3 ul liAzure Databricks expertise: Strong hands‑on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues. /li liEngineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices. /li liData platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists. /li liOperational mindset:



Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams. /li liStakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work. /li li5+ years experience in cloud/platform engineering (preferably Azure). /li li2+ years hands‑on experience with Databricks (Azure Databricks strongly preferred). /li liCandidates who do not meet the required years of experience may still be considered if they possess the following certifications: ul liAZ‑900 (Azure Fundamentals) /li liAZ‑305 (Designing Azure Infra Solutions) /li liAZ‑104, AZ‑400 (DevOps Focused) and/or AI‑102 (AI) will be advantageous /li /ul /li liExperience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.). /li liExperience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads. /li /ul h3Desired Skills /h3 ul liFamiliarity with AWS/GCP concepts /li liExperience with Unity Catalog /li liExperience supporting data governance patterns and lineage/metadata tooling /li liFamiliarity with GenAI workload considerations. /li /ul h3Additional Information /h3 pAVEVA requires all successful applicants to undergo and pass a comprehensive background check before employment. Background checks will be conducted in accordance with local laws and may include, subject to those laws, proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, and credit checks. /p h3Equal Opportunity Employer /h3 pAVEVA is an Equal Opportunity Employer. We are committed to providing an inclusive culture and a workplace environment where all employees are treated with dignity and respect. Diversity and the expertise that people from different backgrounds bring to our business are valued. /p /p #J-18808-Ljbffr

📌 Cloud Engineer, Data Platforms (Madrid)
🏢 Aveva
📍 Madrid