Azure Data Engineer - Microsoft Fabric
First seen by Alion on Nov 12, 2026.
Job Summary :
We are looking for an experienced Azure Data Engineer with strong Microsoft Fabric expertise to design, develop, and optimize modern data and analytics solutions.
The role requires hands-on experience across Fabric Lakehouse, Warehouse, OneLake, Data Factory, PySpark, Power BI, DAX, semantic models, and Data Agents.
The ideal candidate should be strong in both data engineering and analytics, with a particular focus on performance optimization, scalable data modeling, and AI-enabled data solutions.
Key Responsibilities :
- Design and develop scalable ETL/ELT pipelines using Microsoft Fabric Data Factory, Dataflows Gen2, SQL, Python, and PySpark.
- Build and optimize Lakehouse, Warehouse, OneLake, and Delta Lake solutions using Bronze/Silver/Gold architecture.
- Develop complex T-SQL queries, views, transformations, and dimensional data models using star schema, fact/dimension tables, and SCD.
- Develop and optimize Power BI semantic models, DAX measures, Power Query, and reports.
- Implement and optimize Direct Lake models while minimizing unnecessary DirectQuery fallback.
- Design and maintain Fabric Data Agents and validate AI-generated SQL, PySpark, and DAX using Copilot/Fabric AI capabilities.
- Perform end-to-end performance tuning across Spark/PySpark, SQL Warehouse, Delta tables, Data Factory, Power BI, DAX, and Fabric capacity.
- Optimize Delta tables using appropriate partitioning, OPTIMIZE, VACUUM, and V-Order strategies.
- Monitor workloads using Spark UI, Query Insights, Monitoring Hub, and Capacity Metrics.
- Implement CI/CD using Git/Azure DevOps/GitHub and Fabric deployment pipelines.
- Apply security and governance using Microsoft Entra ID, workspace roles, OneLake security, and Microsoft Purview.
- Collaborate with analysts, BI developers, data scientists, and business stakeholders to deliver production-ready data solutions.
Required Skills :
- 4+ years of experience in Azure Data Engineering.
- Strong hands-on experience with Microsoft Fabric.
- Advanced SQL/T-SQL skills.
- Strong Python and PySpark experience.
- Strong knowledge of Lakehouse, Warehouse, OneLake, Delta Lake, and Medallion Architecture.
- Strong Power BI, DAX, semantic modeling, and Power Query skills.
- Experience with Direct Lake and Power BI performance optimization.
- Experience with Data Factory and Dataflows Gen2.
- Strong understanding of data modeling and performance tuning.
- Experience with Git, CI/CD, and deployment pipelines.
- Understanding of data security, governance, and monitoring.
Good to Have :
- Hands-on experience building Microsoft Fabric Data Agents.
- Experience with Copilot, Azure OpenAI, MLflow, or MLOps.
- Knowledge of Microsoft Purview.
- Experience with Real-Time Intelligence, Eventstreams, Eventhouse, or KQL.
- Experience with Azure SQL, Snowflake, S3, or other external data sources.
- Microsoft Fabric/Azure Data Engineering certification.
Education :
Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
Skills
Data Engineering, Azure, Azure Data Factory, Python, PySpark, Data Modeling, Medallion Architecture, Data Governance, DataLake