Fabric Data Engineer: Modernise Azure Pipelines (London)

Burns Sheehan Limited; Greater London; On-site; GBP 65,000 - 75,000; Full time

Job summary

Burns Sheehan Limited is helping a London business modernise its data platform, migrating from Azure Synapse to Microsoft Fabric, and seeks a mid‑level Data Engineer to join the team. You’ll work onsite in Camden, London (4 days per week) developing, validating and optimising data pipelines, governance and data quality while taking ownership of parts of the migration.

This permanent role offers hands‑on work with Fabric Lakehouses, Warehouses, Pipelines and BI models, in a collaborative,

Qualifications

• Commercial hands‑on experience with Microsoft Fabric, ideally building pipelines, Lakehouses or Warehouses.
• Solid foundation in Azure Data Engineering, particularly Azure Synapse, ADF and SQL.
• Experience developing and maintaining ETL/ELT pipelines and data models.
• Familiarity with Git, CI/CD and modern data engineering practices.
• An understanding of data governance, security and quality, alongside exposure to Power BI.
• Someone who's curious, collaborative and keen to learn from experienced engineers whilst taking ownership of their own work.

Responsibilities

• Develop, maintain, and optimise data pipelines across Azure Synapse, ADF, and Fabric.
• Support migration of workloads from Synapse and Power BI into Fabric, gradually taking ownership of workstreams.
• Working with Fabric Lakehouses, Warehouses, Pipelines, Notebooks and semantic models.
• Helping improve data quality, governance, monitoring and engineering standards across the platform.
• Collaborating with senior engineers, architects and business stakeholders to deliver reliable, scalable data solutions.

Skills

Microsoft Fabric

Azure Synapse

ETL/ELT pipelines

SQL

Data governance

CI/CD

Power BI

Tools

Azure Data Factory

Power BI

Git

Job description

Burns Sheehan Limited is helping a London business modernise its data platform, migrating from Azure Synapse to Microsoft Fabric, and seeks a mid‑level Data Engineer to join the team. You’ll work onsite in Camden, London (4 days per week) developing, validating and optimising data pipelines, governance and data quality while taking ownership of parts of the migration.

This permanent role offers hands‑on work with Fabric Lakehouses, Warehouses, Pipelines and BI models, in a collaborative,