Design, build, and maintain Microsoft Fabric-based data pipelines, lakehouses, and warehouse solutions. Support migration of legacy systems, optimise ETL/ELT processes (PySpark, SQL, Python), enforce data quality, governance and security, support semantic models/Power BI reporting, troubleshoot platform issues, and contribute to data architecture standards and documentation.
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.
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.
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.
We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy.
About
Network Plus is an award-winning business delivering essential utility and infrastructure services for the UK’s major providers of gas, power, telecoms, transport, water, and wastewater.We value the variety of experience, perspective, and other points of difference our workforce, clients, and supply chain offer.We are actively working with colleagues across the Network Plus Group to develop an inclusive environment – we want all our employees to feel valued and included to enable everyone to thrive at work and understand the value of their contribution matters no matter their background, identity, or circumstances.
Network Plus Salford, England Office
Salford, United Kingdom
Similar Jobs
Financial Services
Design, build, test, and maintain scalable ELT data pipelines and architectures using Python and Databricks. Ensure data security, entitlement controls, and SDLC quality (CI/CD, testing). Use SQL/NoSQL, update data models, apply enterprise-authorized AI responsibly, and support controls and auditability across the data lifecycle.
Top Skills:
AWSCi/CdDatabricksEnterprise-Authorized AiNoSQLPythonSQL
Fintech • Mobile • Payments • Software • Financial Services
Lead data architecture and resilience for high-volume streaming and batch pipelines. Productionize Airflow/dbt workflows for a unified customer view (CDP), own MarTech infrastructure, bridge engineering and analytics, scope ambiguous technical problems, and coach engineers on data best practices.
Top Skills:
AirflowApache IcebergBrazeDbtHightouchKafkaKafka StreamsPythonTrinoVendor Api Integrations
Fintech • Mobile • Payments • Software • Financial Services
Build and optimize Lakehouse data pipelines (Trino + Iceberg) using Medallion Architecture to transform high-throughput event logs into audit-ready subledgers and reporting metrics. Implement stream processing with Kafka, embed automated reconciliation/data quality checks, collaborate with finance and product stakeholders, and mentor junior engineers.
Top Skills:
AirflowApache IcebergApache KafkaAvroDbtDelta LakeJavaJSONPrestoPythonScalaSQLTrino
What you need to know about the Manchester Tech Scene
Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.
