Role OverviewWe are looking for an experienced Senior Data Engineer / Fabric Semantic & Canonical AI Engineer with strong expertise in Microsoft Fabric, OneLake, Lakehouse, Azure Data Factory, semantic modeling, canonical data models, PySpark, SQL/T-SQL, and AI/ML data enablement.The ideal candidate should have strong experience designing scalable data platforms, building enterprise data models, and enabling data for analytics and AI/ML workloads.Key ResponsibilitiesDesign and develop scalable data engineering solutions using Microsoft Fabric.Build and manage OneLake / Lakehouse architecture and data pipelines.Develop and optimize data ingestion and transformation pipelines using Azure Data Factory.Design enterprise-grade Semantic Models for analytics and reporting.Develop and implement Canonical Data Models across diverse data sources.Build data transformation and processing solutions using PySpark.Develop complex and optimized SQL / T-SQL queries, procedures, and data solutions.Design Dimensional Models, including Star Schema, for analytical workloads.Work with Data Warehouse / Delta Lake architectures.Prepare and enable enterprise data for AI/ML workloads.Support integration with Azure ML / Azure OpenAI and other AI capabilities.Ensure data quality, scalability, performance, security, and governance across data platforms.Collaborate with data architects, AI/ML engineers, analysts, and business stakeholders.Must-Have SkillsMicrosoft FabricOneLake / LakehouseAzure Data FactorySemantic ModelingCanonical Data ModelPySparkSQL / T-SQLDimensional Modeling / Star SchemaData Warehouse / Delta LakeAI/ML Data EnablementAI/ML ExposureExperience enabling data for AI/ML solutions using technologies such as:Azure Machine Learning (Azure ML)Azure OpenAIAI-ready data pipelines and architecturesData preparation for ML/GenAI workloadsIdeal Candidate10–15 years of strong experience in data engineering and enterprise data platforms.Strong hands-on experience with Microsoft Fabric and modern data architecture.Excellent understanding of semantic and dimensional modeling.Strong SQL/T-SQL and PySpark expertise.Experience working with enterprise-scale data warehouses and Lakehouse/Delta Lake environments.Good understanding of AI/ML data requirements and enablement.Strong communication and stakeholder-management skills.

Senior Data Engineer (Fabric, Semantic & Canonical AI Engineer)

Emma

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