Data Engineer

We are looking for a Data Engineer to design and maintain scalable data solutions that support applications, reporting and analytics. The role includes developing data pipelines, contributing to data architecture and supporting data engineering projects. Translate business requirements into data solutions, reports and dashboards.

Design, develop and maintain ETL processes and data pipelines using Azure Data Factory. Build and manage data warehouses and data models, including facts, dimensions and relational structures. Write complex SQL and T-SQL queries, views and stored procedures. Develop Power BI reports, dashboards and semantic models using DAX.

Integrate data across legacy and modern systems, and automate batch processing and scheduled tasks. Deploy and manage data solutions on Azure. Monitor and optimise data solutions for performance, reliability, scalability and cost. Troubleshoot data issues and provide support for existing BI solutions. Maintain technical documentation and participate in architecture, design and code reviews.

Contribute to modernising data platforms and support relevant Azure and AI initiatives.

Requirements

Qualifications

and experience Matric is essential. A degree in Computer Science, Engineering, Mathematics or a related field, or at least 10 years of relevant experience in place of a degree. Approximately 4–5 years of relevant experience. A postgraduate qualification with a relevant practical component may substitute for some experience.

Technical skills Data pipeline and ETL development, including Azure Data Factory. Data warehousing, including dimensional, multidimensional and relational modelling. Advanced SQL and T-SQL, including joins, views and stored procedures. Power BI, including dashboards, semantic models, DAX and cubes. Azure cloud solutions and integration between on-premise, legacy and modern systems.

Process automation, batch processing and scheduling.

Benefits

Hybrid working option