Data Platform Engineer

Accion Labs Europe

España

On-site

PHP 6,293,000 - 10,069,000

Full time

29 hours ago
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Job summary

Accion Labs Europe seeks an experienced Platform Engineer to design, build, and maintain the Microsoft Fabric data platform. You will work on OneLake, Data Warehouse, Lakehouse, and Data Factory pipelines while enabling Real-Time intelligence and Power BI environments.

The role emphasizes IaC, multi-region Fabric deployments, and strong CI/CD practice within Azure DevOps and Git integration. Collaboration across data engineering, science, and BI teams is essential.

Qualifications

  • 5+ years in DevOps, platform engineering, or SRE roles
  • 3+ years with Microsoft Azure cloud services and Azure DevOps
  • Strong experience with Microsoft Fabric and related data platforms (Power BI, Synapse, Data Factory)
  • Expertise in IaC tools (Terraform, Ansible, ARM templates, CloudFormation)
  • Scripting in Python, PowerShell, Bash, and SQL
  • Deep understanding of CI/CD with AzureDevOps, GitHub Actions
  • Experience with Docker, Kubernetes and cloud services (AKS, EKS, GKE)
  • Experience with blob storage and cloud relational databases (Azure Storage, S3, Cloud SQL)
  • Knowledge of data warehousing, lakehouse, ETL/ELT processes
  • Observability tools: Azure Monitor, Prometheus, Grafana, ELK, Datadog
  • Security, IAM, encryption, network security in cloud
  • Fabric workspace deployment knowledge
  • Power BI administration and deployment
  • Delta Lake/Parquet optimization
  • Data mesh/medallion pattern familiarity

Responsibilities

  • Design, build, and maintain Microsoft Fabric data platform infrastructure (OneLake, Data Warehouse, Lakehouse, Data Factory pipelines, Real-Time Intelligence, Power BI)
  • Manage platform architecture for data engineering, science, analytics, and BI workloads
  • Develop IaC solutions (Terraform, ARM templates, etc.) for consistent deployments
  • Architect multi-region, scalable Fabric solutions for global operations
  • Design OneLake storage structure, mirroring, and data lake optimization

Skills

DevOps
Platform engineering
Site reliability engineering
Azure cloud
CI/CD
Docker/Kubernetes
Data platforms
PowerShell/Python
Terraform/IaC
Security & IAM
Fabric administration
Power BI administration
Delta Lake/Parquet

Tools

Azure DevOps
Terraform
Ansible
ARM templates
CloudFormation
Docker
Kubernetes
AKS/EKS/GKE
Azure Monitor
Prometheus
Grafana
Datadog
Power BI Admin tools

Job description

  • 5+ years of experience in DevOps, platform engineering, or site reliability engineering roles
  • 3+ years of hands-on experience with Microsoft Azure cloud services and Azure DevOps
  • Strong experience with Microsoft Fabric or related Microsoft data platforms (PowerBI, Azure Synapse Analytics, Azure Data Factory)
  • Expertise in Infrastructure as Code tools(terraform, Ansible, ARM templates, Cloud Formation)
  • Proficiency in scripting and programming languages including Python, PowerShell, Bash, and SQL
  • Deep understanding of CI/CD principles and tools (AzureDevOps, GitHub Actions)
  • Experience with containerization and orchestration technologies (Docker, Kubernetes) and cloud services (AKS, EKS, GKE)
  • Experience with cloud blob data services (Azure Storage, AWS S3, GCP Cloud Storage) and cloud managed relational databases (Azure SQL, Amazon RDS, GCP Cloud SQL)
  • Strong knowledge of data warehousing, data lakes, lake house architectures, and ETL/ELT processes
  • Hands-on experience with monitoring and observability tools(Azure Monitor, Prometheus, Grafana, ELK Stack, Datadog)
  • Understanding of storage ACLs, network security, encryption, identity management, and cloud security best practices
  • Experience deploying and managing Microsoft Fabric workspaces, capacities, and items
  • Knowledge of One Lake architecture, shortcuts, mirroring, maintenance, and security
  • Familiarity with Fabric REST APIs and SDK for automation and integration
  • Experience with Fabric Git integration and deployment pipelines
  • Knowledge of Power BI administration and deployment best practices
  • Proficiency in designing scalable ETL/ELT architectures and data pipeline orchestration strategies
  • Knowledge of Delta Lake, Parquet for optimization techniques such as partitioning/clustering
  • Deep understanding of data lakehouse architecture, medallion patterns, and data mesh organizational frameworks
Responsibilities
Platform Engineering & Architecture
  • Design, build, and maintain the Microsoft Fabric data platform infrastructure, including OneLake, Data Warehouse, Lakehouse, Data Factory pipelines, Real-Time Intelligence, and Power BI environments
  • Implement and manage platform architecture supporting data engineering, data science, analytics, and business intelligence workloads across the organization
  • Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, Azure Resource Manager templates, or similar tools for consistent, repeatable deployments
  • Architect multi-region, scalable solutions within Microsoft Fabric to support global humanitarian operations
  • Design and implement OneLake storage structure, shortcuts, mirroring configurations, and data lake optimization strategies
CI/CD & Deployment Automation
  • Build and maintain comprehensive CI/CD pipelines for Microsoft Fabric workspaces using Azure DevOps
  • Implement automated deployment strategies utilizing Fabric REST APIs, Git integration, Fabric deployment pipelines, and fabric-cicd tools
  • Manage source control integration with Microsoft Fabric workspaces, establishing branching strategies and deployment workflows across development, test, and production environments
  • Automate infrastructure provisioning, configuration management, and deployment processes for all Fabric components
  • Develop and maintain deployment rules, parameterization strategies, and environment-specific configurations
Platform Maintenance & Operations
  • Perform ongoing maintenance of Microsoft Fabric platform components including capacity management, workspace administration, and item lifecycle management
  • Monitor platform health, performance metrics, and resource utilization using Azure Monitor, Prometheus, Grafana, or integrated Fabric monitoring capabilities
  • Implement comprehensive observability and alerting framework covering logs, metrics, and traces across the entire data platform
  • Conduct regular platform updates, patches, and upgrades while minimizing disruption to users and maintaining system stability
  • Manage disaster recovery procedures, backup strategies, and business continuity planning for critical data assets
  • Optimize platform performance through capacity planning, resource allocation, and cost management strategies
Security, Governance & Compliance
  • Implement and enforce security controls using Microsoft Purview for data governance, classification, and protection across the Fabric ecosystem
  • Configure and maintain role-based access controls (RBAC), row-level security, column-level security, and OneLake folder/table-level permissions
  • Establish and enforce data sensitivity labeling, information protection policies, and data loss prevention (DLP) measures
  • Integrate Microsoft Entra authentication, manage service principals, and implement managed identities for secure platform access
  • Ensure compliance with global regulatory frameworks including GDPR, HIPAA, and ISO standards through automated controls and auditing
  • Implement network security measures including conditional access, private endpoints, customer-managed encryption keys, and secure data sharing protocols
  • Monitor and respond to security incidents, conducting regular security assessments and vulnerability management
Automation & Scripting
  • Develop automation scripts using Python, PowerShell, Bash, and Azure CLI for routine operational tasks and platform management
  • Create custom tooling and utilities to enhance platform capabilities and improve developer experience
  • Automate data pipeline orchestration, monitoring, alerting, and incident response workflows
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