Data Engineer

Microsoft Fabric / Azure Data Factory Expert

The role focuses on designing and maintaining cloud-based data solutions using Microsoft Fabric and Azure Data Factory. 💡 I WANT TO HEAR FROM YOU IF YOU:

• Are you a data engineering specialist with a strong cloud-first mindset
• Are you passionate about working with Microsoft’s newest cloud technologies to deliver real-time business insight?
• Are you a Leader and Mentor that everyone looks up to?

Contact Nicole on  or email: if you have any questions:

Minimum Requirements

• Bachelor’s Degree or equivalent experience.
• Microsoft Certifications:
  • Azure Data Engineer Associate (Exam DP-203)
  • Fabric Data Engineer Associate (Exam DP-700)
• 5+ years’ experience in:
• MUST BE A CLOUD EXPERT!!
• Azure Data Factory, SQL Server, and Snowflake
• Microsoft Fabric (Data Factory, One Lake, Data Activator)
• Power BI Dashboards, Dataflows, and Paginated Reports
• Incremental data loading and CI/CD automation
• Dev Ops, Git, and Git Hub

A forward-thinking organisation, recognised for its commitment to next-generation data and analytics, is seeking a Senior Data & Analytics Engineer with deep expertise in Azure Data Factory and cloud-based data architecture.
This role is ideal for someone who thrives in complex environments — designing, building, and optimising data solutions that power real-time business intelligence through Microsoft Fabric, Azure, and Power BI.
You’ll play a key role in shaping the company’s modern data platform, driving automation, accuracy, and insight across global operations.
Strong leader required - This is not a management position but a hands-on leadership role for someone who thrives on building and mentoring a team while designing high-performance data solutions that power global business intelligence.

Main Responsibilities:

• Design and implement scalable data pipelines using Azure Data Factory, SQL Server, and Snowflake.
• Develop and maintain Power BI Dashboards, Dataflows, and Paginated Reports for live analytics and reporting.
• Leverage Microsoft Fabric technologies (Data Factory, One Lake, Data Activator) to unify and automate data workflows.
• Integrate data from Dynamics 365 Business Central and and other Platform to support finance and operations.
• Implement incremental data loading and advanced automation for performance and efficiency.
• Use AI tools for predictive analytics, anomaly detection, and enhanced data quality.
• Apply Dev Ops practices, managing version control and deployment through Git and Azure Dev Ops.
• Collaborate across business and technical teams to translate requirements into robust data solutions.