Data Engineer
Role Overview
The Data Engineer works in the Group IT Data & AI team, building and maintaining reliable data pipelines and governed data platforms.
The hands-on role connects source systems, transforms data through medallion architecture and delivers trusted data products in Microsoft Fabric.
Key Skills for This Role
Full Job Posting
About BRUSH Group
BRUSH Group provides energy solutions including power transformers, switchgear and engineering solutions.
The company supports industrial decarbonisation and sustainable development, with a target of net-zero greenhouse gas emissions by 2050.
Role overview
The Data Engineer works in the Group IT Data & AI team, building and maintaining reliable data pipelines and governed data platforms.
The hands-on role connects source systems, transforms data through medallion architecture and delivers trusted data products in Microsoft Fabric.
Key responsibilities
- Design, build, test and maintain pipelines ingesting data from ERP, operational and third-party systems.
- Develop the Microsoft Fabric platform using lakehouse, warehouse, pipeline and transformation capabilities.
- Ensure data is accurate, complete and timely; apply governance, metadata, retention and classification standards.
- Translate business and reporting requirements into scalable designs and well-defined data products.
- Provide Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases.
- Improve engineering standards, automation, deployment practices and platform efficiency.
- Evaluate Microsoft Fabric capabilities and recommend adoption when they offer demonstrable business value.
Qualifications and experience
- Degree or equivalent 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 and practical knowledge of Microsoft Fabric, 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 with cloud lakehouses or data warehouses; Microsoft Fabric is strongly preferred.
- Experience with data quality, monitoring, reconciliation, metadata, lineage and role-based access controls.
- Experience translating business needs 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.
- Microsoft Fabric, Azure Data Engineer or equivalent cloud data certification is desirable.
Benefits
- Benefits include competitive salary, annual leave starting at 26 days plus bank holidays, life insurance and an enhanced company pension.
- Other benefits include an employee assistance programme, GP services, employee rewards, family-friendly policies, bike-to-work, long-service awards, training and professional development.
Working arrangements
- Flexible and hybrid working options are available depending on the role.
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