Data Engineer

Network Plus; Worsley; On-site; GBP 55,000 - 65,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Armed Forces-friendly

Job summary

Network Plus is advancing its data platform by consolidating on-prem data warehouses and Power BI assets into a Fabric-based solution. You will design, build, and optimise data pipelines, lakehouses, and semantic models to support enterprise reporting and analytics.

Join a Data Engineering team driving governance, data quality, and scalable data services across the organisation. You will collaborate with analysts and business stakeholders, implement robust data governance, and help migrate

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Power BI

Azure Data Services

Tools

Fabric Data Factory

PySpark

Notebooks

Data Lake Storage

Azure Synapse

Job description

Description

At Network Plus, our data transformation journey is well underway. Over the last 12 months, we have successfully migrated significant portions of our on-premises data warehouse and Power BI estate to Microsoft Fabric, establishing a modern, scalable data platform that supports enterprise reporting, analytics, and operational decision-making. 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. You will play a key role in enhancing and expanding our enterprise data platform, supporting the migration of remaining legacy solutions, and ensuring that high-quality, trusted data is available across Network Plus. Working closely with business stakeholders, analysts, and technical teams, you will help deliver scalable and resilient data solutions that underpin critical business processes.

Department: IT

Location: Worsley

Compensation: £55,000 - £65,000 / year

Key Responsibilities

• 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.

Experience and Qualifications

• 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.

Salary and Benefits

We offer a competitive salary based on experience along with a full benefits package.

Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.

We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners.

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