Microsoft Fabric Data Engineer

About the RoleWe are seeking a skilled Microsoft Fabric Data Engineer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions using Microsoft Fabric and related Azure technologies. You will play a key role in transforming raw data into trusted, actionable insights to support business decision-making.

Your Responsibility:

• Design and implement robust data pipelines using Microsoft Fabric and Synapse Data Engineering experiences (formerly Dataflows Gen2, Lakehouse, and Pipelines)
• Build and manage Lakehouses and integrate with OneLake, supporting data ingestion, transformation, and consumption
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements and develop scalable data models
• Develop, schedule, and monitor data workflows using Data Factory pipelines and Fabric integration features
• Optimize performance and cost of Fabric workloads, including Spark, SQL endpoints, and storage
• Implement data governance, security, and lineage using Microsoft Purview and Fabric-native features
• Ensure data quality, consistency, and reliability across sources and consumers
• Stay current with Microsoft Fabric updates and best practices

Your Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field
• Over 5 years of experience in data engineering, with hands-on experience using Azure Data Services
• Strong proficiency with Microsoft Fabric, including Lakehouse, Data Pipelines, Notebooks, and Real-Time Analytics
• Solid experience with Azure Data Factory, Azure Synapse, and Azure Data Lake
• Proficiency in SQL, PySpark, and data modeling (dimensional and relational)
• Familiarity with Power BI and its integration with Fabric datasets
• Understanding of data governance, security, and metadata management

Preferred Qualifications

• Experience with CI/CD for data pipelines and version control tools (e.g., Git)
• Knowledge of Delta Lake, KQL, and streaming data frameworks
• Microsoft certifications (e.g., Azure Data Engineer Associate, Microsoft Certified: Fabric Analytics Engineer Associate) are a plus
• Strong communication skills and ability to collaborate in cross-functional teams
• Familiarity with Microsoft Dynamics 365 data structure and integration through Dataverse
• Experience working with Power Platform tools such as Power Automate and Power Apps in data-centric or reporting-driven scenarios

Interested? Then, don't hesitate to apply!
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