Build a modern, cloud-native data platform from scratch as a Data Engineer. Design, develop, and optimize pipelines, architecture, and data structures to power analytics, AI-driven insights, and business reporting.
Requirements
- Designing and building scalable, reliable data pipelines within the Microsoft Fabric ecosystem
- Developing and maintaining Lakehouse and Data Warehouse solutions
- Ingesting data from REST APIs, databases, and third-party systems into a centralised platform
- Transforming, modelling, and structuring data to support analytics and Power BI reporting
- Ensuring data quality, integrity, and consistency across all data assets
- Monitoring, troubleshooting, and continuously optimising pipeline performance
- Collaborating with Power BI developers to deliver clean, analytics-ready datasets
- Preparing and structuring high-quality datasets to support AI and machine learning workloads
- Implementing and maintaining data architecture standards, patterns, and best practices
- Supporting the adoption of Microsoft Fabric's AI and Copilot capabilities as they mature