Role & responsibilities
Azure DevOps: Repos, Boards, Pipelines (build/release), CI/CD configuration and management
Infrastructure as Code: ARM templates, Terraform or Bicep for provisioning and versioning
Azure Data Factory: design, implement and monitor ETL/ELT pipelines Microsoft Fabric: access, workspace configuration, pipeline orchestration and data integration
Azure Analysis Services & Cubes: model deployment, scaling and performance tuning
EntraID (Azure AD)Based Access: manage groupbased permissions for PowerBI workspaces and reports
Scripting & Automation: PowerShell and Python to build custom pipelines, approval flows and deployment processes
Version Control & Branching: Git workflows, pull requests and merge strategies
Azure Databricks Administration: workspace and cluster provisioning, performance tuning, security permissions, and integration into CI/CD pipelines
Cost Management & Allocation: implement Azure Cost Management (budgets, alerts), tagging strategies and reporting to split and track expenses across different business areas and markets
Preferred candidate profile
Containerization & Orchestration: Docker, Kubernetes (AKS) Messaging & Integration: Azure Service Bus, Event Grid or Event Hubs Serverless & App Services: Functions, Logic Apps for automation tasks Monitoring & Logging: Azure Monitor, Log Analytics, Application Insights Security & Compliance: Azure Policy, RBAC, network security basics CrossCloud Familiarity: basic experience with AWS/GCP DevOps tools Confluence: for documentation Soft Skills Effective Communication: presenting technical insights clearly to diverse audiences Advanced English Proficiency: reading/writing documentation, collaborating with global teams Team Collaboration: working closely with BI developers and engineers Analytical Mindset: problem-solving and pattern recognition in data Proactivity & Autonomy: driving improvements and anticipating business needs Time Management: prioritising tasks and meeting deadlines Adaptability: embracing changing requirements and new technologies Organization & Prioritization: manage multiple projects, deadlines and stakeholder requests seamlessl

Keyskills: Azure Data Factory Azure Databricks Azure Data Lake Ci/Cd Azure Devops Azure Pipelines Kubernetes
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