senior data engineer [up to rm15k].

1. AI-Driven Data Integration

• Modern Pipelines: Architect and deploy ingestion pipelines using Azure, Microsoft Fabric, and OneLake to handle any data type (APIs to streams).

• 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 from day one.

2. Architecture & Modelling

• Medallion Logic: 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.

3. Insights & Advanced Analytics

• Visual Storytelling: 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.

4. DevOps & Delivery

• Agile Ownership: 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.

5. Scaling & Operations

• Platform Health: 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.