Skip to content
Search jobs inside your AI agent. Claude, ChatGPT, Claude Code, Codex, Gemini, Cursor and Grok
Connect

Careers at DLK Group

NewBe an early applicant

Data Engineer

Posted
Discussion

Summary

Data Engineer in Cape Town building and maintaining scalable data solutions: ETL pipelines in Azure Data Factory, SQL/T-SQL data warehouses and models, and Power BI reports/dashboards with DAX. Also deploys and optimises data solutions on Azure and supports BI troubleshooting and platform modernisation.

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.

Skills

Apply

See also

Data Engineering jobs by country — openings, pay and top skills →