Cognitive Group | Part of the Focus Cloud Group
Microsoft Fabric Engineer
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Location: Fully Remote (must be based within the UK)
Type: Contract
We are seeking an experienced Microsoft Fabric Data Engineer to join a leading consultancy-focused data team delivering enterprise-scale analytics solutions for end clients.
About the Role
This role will suit a consultant-minded Data Engineer who combines strong hands-on Microsoft Fabric delivery expertise with excellent Power BI skills and the ability to engage confidently with both technical and non-technical stakeholders. You will act as a key bridge between the consultancy delivery team and the end customer, helping shape solutions, gather requirements and deliver modern data platforms.
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Responsibilities
- Design, develop and maintain data solutions using Microsoft Fabric.
- Build and optimise Lakehouses, Data Warehouses, Data Pipelines and OneLake solutions.
- Deliver end-to-end data engineering solutions using Fabric, Azure and Power BI.
- Work directly with customer stakeholders to understand business requirements and translate them into technical solutions.
- Act as a trusted advisor between client stakeholders and technical delivery teams.
- Develop and maintain semantic models, datasets and reporting solutions within Power BI.
- Collaborate with consultants, architects, business users and engineering teams to ensure successful project delivery.
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Required Skills
- Proven experience delivering solutions using Microsoft Fabric in production environments.
- Fabric Lakehouse
- Fabric Data Warehouse
- Data Factory / Fabric Pipelines
- OneLake
- Strong Power BI development experience
- Strong SQL skills.
- Experience working with Azure data technologies
- Excellent communication and stakeholder management skills.
- Ability to gather requirements and translate business needs into technical solutions.
- Experience engaging with senior business and technical stakeholders.
If you're looking for a new opportunity and would be interested please apply and we'd be happy to discuss.
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