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.

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• 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