Fabric Data Engineer – Enterprise Pipelines & AI

Aspire Technology; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Aspire Technology is looking for four Fabric Data Engineers in Greater London to join a major data platform transformation. You will design and build data pipelines using Microsoft Fabric while collaborating with engineering and analytics teams to ensure data quality and governance. This role involves end-to-end platform engineering, driving GitHub-based workflows, and contributing to the Azure data ecosystem. Ideal candidates will have proven experience in enterprise environments and strong expertise with modern cloud data platforms.

Qualifications

• Experience as a Data Engineer in enterprise environments.
• Hands-on expertise with Microsoft Fabric or modern cloud data platforms.
• Strong record building end-to-end data pipelines.
• Deep experience across the Azure data stack.

Responsibilities

• Design and build end-to-end data pipelines in Microsoft Fabric.
• Develop ingestion, transformation, and curated data layers.
• Drive GitHub-based workflows and version control best practices.
• Collaborate closely with engineering and analytics teams.
• Integrate across the Azure data ecosystem.
• Contribute to CI/CD pipelines and modern engineering standards.
• Champion data quality, governance, and reliability.

Skills

Data Engineering

Microsoft Fabric

Azure Data Stack

Building Data Pipelines

Tools

Data Factory

Synapse

ADLS

Job description

Aspire Technology is looking for four Fabric Data Engineers in Greater London to join a major data platform transformation. You will design and build data pipelines using Microsoft Fabric while collaborating with engineering and analytics teams to ensure data quality and governance. This role involves end-to-end platform engineering, driving GitHub-based workflows, and contributing to the Azure data ecosystem. Ideal candidates will have proven experience in enterprise environments and strong expertise with modern cloud data platforms.