Senior Data Engineer - Microsoft Fabric & Azure
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Senior Data Engineer - Microsoft Fabric & Azure at Agilisys. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
Location: Hybrid
Division: Engineering
Reports to: Chief Architect - Data and Insights
ABOUT US
Agilisys is at the forefront of digital transformation and innovation in the public services sector. With over two decades of experience, we have established ourselves as a trusted partner for governments, local authorities, and organizations nationwide. Our mission is to empower our clients to deliver exceptional public services by harnessing the full potential of technology and data.
OUR VALUES
Partnership: we become one team and family with organisations, helping them to navigate change and stay agile.
Integrity: our people really care, going beyond the brief to make change happen for organisations and citizens.
Innovation: we bring together the right technologies and services to design solutions that work.
Passion: we are passionate about - and dedicated to - public services and improving people’s lives.
THE ROLE
The Senior Data Engineer – Microsoft Fabric & Azure is a senior, hands-on role within Agilisys’ Data & AI Practice. You will take engineering ownership of modern data-platform workstreams from approved design through build, testing, production deployment and handover, with Microsoft Fabric and the Azure Data Platform at the core.
Working closely with architects, analysts, delivery teams and client stakeholders, you will help turn architecture into secure, scalable and supportable solutions. You will also contribute to engineering standards, mentor other engineers and help clients move from proof-of-value or legacy data platforms to production-grade services.
KEY RESPONSIBILITIES
- Deliver Fabric and Azure data platforms end to end: Build and productionise Microsoft Fabric solutions using OneLake, Lakehouses, Warehouses, Data Pipelines, Notebooks, Dataflows and Azure Data Factory, including integration with legacy, cloud and on-premises data sources.&
Ready to apply?
This job is active. Apply now to get in early.