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# Cloud Engineer, Data Platforms

- **Company:** Aveva
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Governance, Data Infrastructure, Extract Transform Load (ETL), DevOps, Github, Python (Programming Language), Key Management, Network Troubleshooting, Performance Tuning, SQL Databases, Data Logging, Apache Spark, Data Lakes, Bicep, Data Management, Terraform, Data Pipelines, Azure Resource Manager, Key Vault, Databricks
- **Published:** July 27, 2026
- **Apply:** https://www.buscojobs.com.es/cloud-engineer-data-platforms-en-madrid-ID-364528295

## About the Role

Azure & Databricks expertise: Strong hands?on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues.
Engineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices.
Data platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists.
Operational mindset: Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams.
Stakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work.
5+ years experience in cloud/platform engineering (preferably Azure).
2+ years hands?on experience with Databricks (Azure Databricks strongly preferred).
Candidates who do not meet the required years of experience may still be considered if they possess the following certifications:
AZ?900 (Azure Fundamentals)
AZ?305 (Designing Azure Infra Solutions)
AZ?104, AZ?400 (DevOps Focused) and/or AI?102 (AI) will be advantageous
Experience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.).
Experience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads.
Desired Skills
Familiarity with AWS/GCP concepts
Experience with Unity Catalog
Experience supporting data governance patterns and lineage/metadata tooling
Familiarity with GenAI workload considerations.

## Description

Cloud Engineer, Data PlatformsLocation:Madrid, Spain | London, UKEmployment Type:Full Time (Hybrid role)Key ResponsibilitiesDatabricks platform engineering (Azure): Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services.Production readiness: Enable a clear path to production environments, including operational processes, runbooks, incident response practices, and release readiness.Pipeline reliability: Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning.Automation & CI/CD: Implement infrastructure?as?code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform, Bicep, Azure DevOps, GitHub).Security & access: Implement least?privilege access, secrets management, identity integration, auditability, and compliance?aligned controls in partnership with Security/ Governance.Observability & operations: Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery.Embedded 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.Essential RequirementsAzure & Databricks expertise: Strong hands?on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues.Engineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices.Data platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists.Operational mindset: Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams.Stakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work.5+ years experience in cloud/platform engineering (preferably Azure).2+ years hands?on experience with Databricks (Azure Databricks strongly preferred).Candidates who do not meet the required years of experience may still be considered if they possess the following certifications:AZ?900 (Azure Fundamentals)AZ?305 (Designing Azure Infra Solutions)AZ?104, AZ?400 (DevOps Focused) and/or AI?102 (AI) will be advantageousExperience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.).Experience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads.Desired SkillsFamiliarity with AWS/GCP conceptsExperience with Unity CatalogExperience supporting data governance patterns and lineage/metadata toolingFamiliarity with GenAI workload considerations.Additional InformationAVEVA 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.Equal Opportunity EmployerAVEVA 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.#J-*****-Ljbffr


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