Senior Data Engineer – Microsoft Fabric – London (Hybrid)

About the role

This role offers the chance to join a well‑established international organisation that is transforming its data and reporting landscape with a major investment in Microsoft Fabric. As a Senior Data Engineer you will help shape and deliver a next‑generation data platform while influencing architecture decisions across the business.

Key responsibilities

• Work with Microsoft Fabric components such as Lakehouses, Data Pipelines, Notebooks and Dataflows.
• Design and develop scalable ETL/ELT solutions.
• Lead large‑scale data migration and transformation projects.
• Develop SQL and T‑SQL code for data processing.
• Create data models and data‑warehousing solutions.
• Integrate Azure‑based data services.
• Use PySpark and Python within Fabric Notebooks.
• Support Power BI reporting and analytics requirements.
• Collaborate with business and technical stakeholders across multiple departments.
• Drive AI, automation and continuous‑improvement initiatives.

Required profile

• Strong experience as a Data Engineer in a Microsoft environment.
• Hands‑on experience with Microsoft Fabric.
• Proven ability to build and maintain ETL/ELT pipelines.
• Expertise in SQL and T‑SQL.
• Experience designing scalable data solutions and data warehouses.
• Strong problem‑solving and analytical skills.
• Excellent stakeholder management and communication abilities.

Required skills

• Microsoft Fabric (Lakehouses, Data Pipelines, Notebooks, Dataflows)
• Azure Data Factory, Azure Synapse Analytics, Azure Data Lake
• SQL / T‑SQL
• PySpark
• Python
• Power BI
• CI/CD and DevOps practices
• AI / ML concepts

What we offer

• Salary up to £75,000 per year, dependent on experience.
• Hybrid working model.
• Opportunity to work on a major Microsoft Fabric transformation.
• Exposure to AI and automation projects.
• Ongoing training and development.
• Clear progression opportunities within a growing data function.
• Collaborative and supportive team environment.
• Ability to influence future data strategy.