Data Engineer
Our Data Engineering team has built the foundations of a robust Fabric-based data platform, including automated ingestion pipelines, medallion architecture lakehouses, semantic models, and governance frameworks. As we continue to mature our platform and expand adoption across the business, we are looking for talented Data Engineers to help shape the next phase of our data strategy.
This is an exciting opportunity to join a team that has moved beyond platform implementation and is now focused on optimisation, innovation, data quality, and delivering measurable business value through data.
We are seeking a skilled Data Engineer with experience in Microsoft Fabric, Azure data technologies, and modern data warehouse architectures to join our growing Data Engineering team.
- Design, develop, and maintain data pipelines, lakehouses, and warehouse solutions within Microsoft Fabric.
- Support the ongoing migration and modernisation of legacy on-premises data warehouse and reporting solutions.
- Develop and optimise ETL/ELT processes using Fabric Data Factory, Notebooks, PySpark, SQL, and related technologies.
- Collaborate with Data Analysts, BI Developers, and business stakeholders to understand and deliver data requirements.
- Implement and maintain data quality, governance, security, and monitoring processes.
- Optimise platform performance, data models, and storage strategies to maximise efficiency and scalability.
- Support semantic models and reporting solutions that enable self-service analytics across the organisation.
- Troubleshoot and resolve data platform issues while continuously improving operational reliability.
- Contribute to data architecture standards, best practices, and technical documentation.
- Proven experience as a Data Engineer in a modern cloud-based data environment.
- Strong experience with Microsoft Fabric and/or Azure Data Services, including Data Lake Storage, Data Factory, Azure SQL, and Synapse technologies.
- Experience designing and supporting enterprise data warehouses and lakehouse architectures.
- Proficiency in SQL, Python, PySpark, and data engineering best practices.
- Strong understanding of ETL/ELT development, data modelling, and dimensional modelling techniques.
- Experience with Power BI semantic models and analytics platforms.
- Knowledge of data governance, security, and access control principles.
- Excellent problem-solving, communication, and stakeholder management skills.
- Experience working in Agile delivery environments is desirable.
About the Company
At Network Plus, we build and maintain essential infrastructure that keeps communities connected and businesses running. Operating nationwide across water, wastewater, fencing, district heating, power, gas, telecoms, and transport, we deliver critical utility and infrastructure services with a focus on safety, innovation, and sustainability. Whether on-site or in the office, our people play a vital role in shaping the networks that support everyday life. We offer a dynamic and growing workplace where collaboration, development, and career progression are at the heart of what we do. If you’re looking for a rewarding career with real impact, Network Plus is the place for you.
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