• Data Engineering
    o Architect, develop and maintain a declarative data integration solution with the ability to move data between databases, file systems and other locations while tracking data quality according to measures set by data owner.
    o Enhance our big data and real-time data capabilities by using both open-source and internally developed tools, designed to efficiently move data while ensuring integrity.
    o Oversee data support for specialized data centric services we provide, including ETL/ELT, data modelling, database design, data quality assessments, data format conversion, data transformation and data tool selection.
    o Maintain up-to-date knowledge of data engineering tools, related technologies, data security and data privacy laws.
    o Guide standards and best practices across the data stack.
  • Processes, Automation and DevOps
    o Contribute to the development and maintenance of our toolsets used to automate various jobs and scheduled tasks.
    o Mature our DevOps practices, cloud-based toolsets, and production applications.
    o Identify systemic inefficiencies, conceptualise possible solutions and drive their development.
    o Ensure consistent documentation of all implemented tools, systems, and processes.
    o Support tools, data integration applications and infrastructure lifecycles via standard service management principles and processes.
  • Business and Leadership
    o Use data engineering techniques to innovate and solve problems, translating business requirements into system designs.
    o Engage with stakeholders to support the design and delivery of data science projects and solutions.
    o Lead and develop a team of junior data engineers.
    o Contribute to our agile way of work and innovation culture.


  • A formal qualification of at least NQF level 6 in Computer Science, Mathematics, Statistics, Software and/or Data Engineering or a related field. Any relevant specialised certifications or a post-graduate degree will be especially advantageous.
  • 3-5 years relevant experience, of which at least 2 years must have been in a data engineering environment.
  • Experience in ICT / Telecommunications will be an advantage


  • Any data or cloud platform (GCP, Azure, AWS) certification is required, other relevant certifications will be highly advantageous.

Desired Skills:

  • Azure
  • GCP
  • Computer Science

About The Employer:

Our client is in the ICT industry.

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