Data Engineer: Modernize SQL Server to Fabric Platform

Millbrook Group Ltd; Testwood; On-site; GBP 70,000 - 110,000; Full time

Job summary

Millbrook Group Ltd is investing in modernising its data platform that underpins operational services, reporting and decision‑making. You will work across a large SQL Server estate with complex stored procedures and ETL processes, while helping us move toward a Microsoft Fabric platform with governed data products.

You will design and optimize SQL, build and maintain ETL/ELT pipelines, and collaborate with BI and software teams to ensure reliable, observable data flows and high‑quality reporting.

Qualifications

• Extensive experience with large SQL Server estates and complex stored procedures, views and functions.
• Ability to read, diagnose and safely modify legacy SQL while improving maintainability and performance.
• Experience designing and maintaining ETL/ELT pipelines and data integrations using Microsoft data tools.
• Strong knowledge of Power BI, data models and governance within an evolving Fabric-based platform.

Responsibilities

• Build, support and improve SQL Server solutions for operational systems and reporting.
• Design reliable ETL/ELT pipelines and data integrations across systems.
• Migrate towards a modern Microsoft Fabric platform with bronze/silver/gold layers.
• Collaborate with engineering to ensure data movement is robust, observable and secure.

Skills

SQL Server

T-SQL

Data pipelines

ETL/ELT

Power BI

Azure data services

Git/Azure DevOps

Data modelling

Tools

SSIS

Azure Data Factory

Azure DevOps

Git

Job description

Millbrook Group Ltd is investing in modernising its data platform that underpins operational services, reporting and decision‑making. You will work across a large SQL Server estate with complex stored procedures and ETL processes, while helping us move toward a Microsoft Fabric platform with governed data products.

You will design and optimize SQL, build and maintain ETL/ELT pipelines, and collaborate with BI and software teams to ensure reliable, observable data flows and high‑quality reporting.