Azure Data Engineer

• Microsoft Fabric: Deep expertise in Lakehouse, Warehouse, and OneLake architectures.
• Development: Advanced PySpark, Spark SQL, and T-SQL (Stored Procedures) development/maintenance.
• Orchestration: Hands-on experience with Fabric Data Pipelines and Dataflow Gen2.
• Engineering Rigor: Proven experience implementing CI/CD within Fabric and Git-based version control.
• Analytics: Strong SQL skills tailored for high-performance analytical workloads.

• Experience migrating from Synapse, ADF, or Power BI datasets into Fabric.
• Deep understanding of Delta Lake concepts.
• Familiarity with Power BI semantic models.
• Experience with large datasets and performance tuning.
• Azure Fundamentals (Storage, Entra ID, Networking).

• Competitive compensation
• Opportunity to gain rapid experience in a major consulting firm
• Hybrid working with 1-2 days on site per week

We are seeking a highly experienced Azure Data Engineer who will be a technical specialist responsible for the design, development, and delivery of data infrastructure, ensuring high standards and best practices are maintained throughout the project lifecycle.

• Focus: Implementation and optimisation of Microsoft Fabric environments.
• Accountability: Full responsibility for technical deliverables and advising on the best methods and tools for successful project outcomes.