We are looking for a DevOps professional to join our team and help us build and maintain our data infrastructure. This role is a unique blend of traditional DevOps practices and cloud-native data management, specifically focused on the Microsoft Fabric ecosystem.
— 2+ years of professional experience with a strong foundation in DevOps practices;
— Hands-on experience with Microsoft Fabric, including Lakehouse environments and Medallion Architecture (Bronze / Silver / Gold);
— Experience with Notebooks and SparkSQL (understanding differences between SparkSQL and T-SQL);
— Strong Azure cloud experience, including Terraform and AKS;
— Practical experience with Docker, Helm, and Kubernetes;
— Strong understanding of CI/CD pipelines and automation tools;
— Knowledge of cloud-native architecture, security principles, encryption, and networking;
— Passion for modern technologies and high-quality engineering solutions;
— Upper-Intermediate English level.
— Experience in traditional Database Administration (DBA) or maintenance;
— Familiarity with distributed systems and large-scale data processing.
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— Data Platform & Fabric Engineering: Design, set up, and maintain Microsoft Fabric environments, including Lakehouses, Warehouses, Pipelines (Data Factory), and Notebooks;
— Medallion Architecture Implementation: Build and maintain Bronze/Silver/Gold data layers in OneLake with proper data lineage, structure, and governance;
— Data Integration & Pipelines: Integrate multiple data sources (APIs, SQL, SaaS, files, streaming) and build reliable data pipelines with monitoring, retries, logging, and data quality checks;
— Performance & Capacity Optimization: Monitor and optimize Fabric capacity (F-SKUs), resolve bottlenecks, and tune performance (partitioning, V-Order, OPTIMIZE/VACUUM, query tuning);
— CI/CD & Infrastructure Automation: Build and maintain CI/CD pipelines using Git and deployment automation; apply Infrastructure as Code (Terraform) for cloud resources;
— Security & Governance: Implement RBAC, RLS/CLS, data masking, and secure secrets management (Azure Key Vault); support integration with Microsoft Purview;
— System Reliability & Operations: Monitor pipelines, Spark jobs, and semantic models; ensure stability, reduce failures, and improve MTTR;
—Cross-functional Collaboration: Work in a Scrum team with R&D engineers to design, deliver, and support core platform components.