Cloud & Data Platform Engineer

IT House - Global Business Solutions · em Lisboa · Full-time

IT House is recruiting a Cloud & Data Platform Engineer for a client in the technology sector, based in Lisbon . RESPONSIBILITIES Act as technical point of contact between Azure Platform and Data Science teams, translating requirements into platform solutions; Support and maintain AI and GenAI environments (AI Hub, AI Projects, models, deployments across Dev, QA, Production); Administer Azure Machine Learning workspaces (access management, configuration, networking, incident resolution); Handle platform requests (access provisioning, resource adjustments, private endpoints, network configurations); Provision and maintain infrastructure using Terraform, leveraging existing templates and standards; Participate in design and evolution of Microsoft Fabric data platform; Create and manage workspaces, capacities, and permissions according to governance models; Configure connectivity to data sources (SQL integrations through on-premises and cloud gateways); Develop platform automation solutions for workspace provisioning and CMDB/ITSM integration; Maintain technical documentation and operational procedures. PROFILE Minimum 1 year with Microsoft Fabric; 2+ years with Azure AI & Machine Learning; Strong expertise in Azure (Machine Learning, AI Foundry/AI Hub, networking, IAM); Strong expertise in Microsoft Fabric (Workspaces, Capacities, Gateways, Data Governance); Hands-on experience with Infrastructure as Code (Terraform); Knowledge of container platforms (OpenShift) supporting AI workloads; Experience with ITSM processes in regulated environments; Strong communication and collaboration skills; ability to bridge technical teams; Self-driven, independent in managing support and maintenance; Native or fluent Portuguese; English B1 minimum. OFFER Contract with IT House | Egor Group; Base salary + Meal allowance; Hybrid model (Lisbon); Other corporate benefits. Para se candidatar a este anúncio, visite o anúncio original no ITJobs .

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