Enterprise Data Engineer - Finance on Microsoft Fabric

Addleshaw Goddard; Leeds; On-site; GBP 65,000 - 90,000; Full time

Job summary

Addleshaw Goddard seeks a Data Engineer to design and build enterprise data solutions focused on Microsoft Fabric, with emphasis on finance data, automation and quality. You will work with Finance, Product Owners, Architecture and Security to deliver secure, maintainable pipelines and data models.

The role blends design with hands-on ingestion, transformation and reporting, ensuring data lineage and governance while enabling measurable value through robust platforms and services.

Qualifications

• Experience designing and delivering enterprise data solutions.
• Strong ability to translate business and finance requirements into data designs and delivery options.
• Knowledge of Microsoft Fabric, including Data Factory, OneLake, lakehouses, warehouses, notebooks and Power BI.
• Knowledge of SQL, data modelling, data integration patterns, APIs and Python or Spark.

Responsibilities

• Analyse business and finance needs and translate requirements into data designs and delivery options.
• Design, build and maintain Microsoft Fabric pipelines, lakehouses, warehouses and reporting layers.
• Integrate financial systems and APIs with batch or real-time processing.
• Deliver secure, scalable data solutions aligned with architecture and security requirements.
• Apply testing, release and deployment practices and maintain data lineage and documentation.

Skills

Microsoft Fabric

Data modeling

Data integration

Python

Spark

Power BI

SQL

Tools

Microsoft Fabric

Power BI

OneLake

Data Factory

Job description

Addleshaw Goddard seeks a Data Engineer to design and build enterprise data solutions focused on Microsoft Fabric, with emphasis on finance data, automation and quality. You will work with Finance, Product Owners, Architecture and Security to deliver secure, maintainable pipelines and data models.

The role blends design with hands-on ingestion, transformation and reporting, ensuring data lineage and governance while enabling measurable value through robust platforms and services.