Data Engineer

Dlk-Group; Cape Town; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Careers at DLK Group is seeking a Data Engineer in Cape Town to design and maintain scalable data solutions supporting applications, reporting and analytics. You will develop data pipelines, contribute to data architecture and support data engineering projects.

Responsibilities include ETL development with Azure Data Factory, SQL/T-SQL, Power BI reports and semantic models, plus integration across systems and Azure deployment. The role emphasizes performance, reliability, and cost optimization.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Azure Data Factory

SQL

T-SQL

Power BI

Data pipelines

Azure cloud

BI dashboards

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

10 years of relevant experience in place of a degree

Tools

Azure Data Factory

Power BI

Job description

Cape Town, South Africa | Posted on 27/10/2026

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 .
  
• 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.