Data Engineer (Microsoft Fabric)

SUMMARY:
Our client is a specialist data and analytics consultancy focused on helping organisations unlock value from their data. They partner with medium to large enterprises to design, build, and optimise modern data platforms across cloud and on-prem environments.

POSITION INFO:
With deep expertise in data warehousing, business intelligence, and cloud transformation, they deliver scalable, high-performance data solutions that drive smarter decision-making and business growth. Their team is made up of highly skilled data professionals who work on complex, enterprise-level data challenges.

We’re looking for an experienced Data Engineer, with strong Microsoft Fabric expertise, to join a high-performing data team.
You’ll play a key role in designing and building modern data platforms, enabling advanced analytics, and supporting business-critical reporting solutions.

This is a hands-on role suited to someone who enjoys solving complex data problems and working across the full data lifecycle.

Key Responsibilities:

• Design, build and maintain scalable data pipelines and architecture
• Implement and optimise data solutions using Microsoft Fabric
• Develop and manage data lakes, lakehouses, and data warehouses
• Integrate data from multiple sources (structured and unstructured)
• Ensure data quality, performance, and governance best practices
• Collaborate with BI developers, analysts, and stakeholders
• Support and enhance reporting solutions (e.g., Power BI)
• Contribute to data platform strategy and best practices

• Computer Science or Engineering Degree
• 5+ years’ experience in a data engineering role
• Strong hands-on experience with Microsoft Fabric
• Solid experience with:
  
  • Azure Data Services (ADF, Synapse, Data Lake, etc.)
  • SQL / T-SQL
  • Data warehousing and dimensional modelling
• Experience building ETL/ELT pipelines
• Exposure to Power BI or broader BI environments
• Strong understanding of cloud-based data architectures
• Ability to work in a consulting or client-facing environment (advantageous)

• Software Developers (Back-End/ Front-End/ Full Stack)
• Business Intelligence
• Data