Data Engineer

Role overview

Key responsibilities

• Design, build, test and maintain pipelines ingesting data from ERP, operational and third-party systems.
• Develop and maintain the Microsoft Fabric data platform and its lakehouse or warehouse, pipelines and transformation capabilities.
• Ensure data is accurate, complete and timely, and apply governance, metadata, retention and classification standards.
• Translate business and reporting needs into scalable technical designs and data products.
• Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI.
• Improve engineering standards, automation, deployment practices and platform efficiency.
• Evaluate Microsoft Fabric capabilities and recommend adoption where they offer business value.

Qualifications and experience

• Degree or equivalent professional experience in data engineering, computer science, software engineering, mathematics or a relevant technical discipline.
• Continued professional development in modern data engineering, cloud data platforms and development practices.
• Strong SQL skills, including querying, transformation, optimisation and troubleshooting complex datasets.
• Practical Microsoft Fabric knowledge, including Data Factory pipelines, Lakehouse, Warehouse, OneLake and notebooks.
• Ability to design scalable data models using medallion architecture, dimensional modelling and reusable data-product principles.
• Experience developing and maintaining a cloud-based lakehouse or data warehouse; Microsoft Fabric is strongly preferred.
• Experience with data quality, monitoring, reconciliation, metadata, lineage and role-based access controls.
• Experience translating business requirements into technical solutions and collaborating with analysts, developers, data owners and stakeholders.
• Experience supporting Power BI, analytics or AI use cases and establishing engineering standards.

Desirable qualification

• Microsoft certification such as Fabric Analytics Engineer Associate, Azure Data Engineer Associate or an equivalent cloud data qualification is desirable.

Benefits

• Competitive salary, 26 days’ holiday plus bank holidays, life insurance and enhanced company pension.
• Flexible and hybrid working options depend on the role.
• Employee assistance programme, remote GP access, family-friendly policies, Bike2work scheme and professional development support.

About BRUSH Group