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Senior Data Engineer role focusing on AI-driven data integration, architecture & modeling, insights & advanced analytics, DevOps & delivery, and scaling & operations within the Microsoft Fabric ecosystem.
Job Responsibility:
AI-Driven Data Integration: Architect and deploy ingestion pipelines using Azure, Microsoft Fabric, and OneLake to handle any data type
Code-Accelerated Dev: Use PySpark, SparkSQL, and .NET alongside AI models to build resilient, automated data lifecycles
Governance: Set the gold standard for data engineering best practices and governance
Architecture & Modelling: Design scalable data architectures based on Medallion and Kimball dimensional modeling within the Fabric ecosystem
Semantic Excellence: Build and manage high-performance Power BI semantic models (Direct Lake mode) to empower self-service analytics
Cataloging: Maintain clear data lineage and dictionaries to ensure compliance with global data policies
Insights & Advanced Analytics: Deliver expert-level Power BI dashboards using advanced DAX and robust Row-Level Security (RLS)
Agentic Science: Design predictive and prescriptive ML models natively in Fabric to drive high-impact business outcomes
Productivity Hacks: Aggressively leverage Copilot and other AI tools to accelerate development speed and output
DevOps & Delivery: Translate business needs into technical reality through iterative, agile delivery and close collaboration with Product teams
Automation-First DevOps: Build and maintain CI/CD pipelines in Azure DevOps
manage code quality through rigorous reviews and automation frameworks
Scaling & Operations: Proactively monitor the data estate for security, capacity, and regulatory compliance
Performance Tuning: Troubleshoot incidents and relentlessly optimize queries and pipelines for maximum speed and minimum cost
Requirements:
5 years experience
Skills: Microsoft Azure, SQL, Python, Microsoft Fabrics, PowerBI
Qualifications: Bachelors/Masters in data science, computer science, statistics, actuarial, software engineering, or equivalent