Data Engineer (Azure Data Factory)

You'll turn messy data into reports managers actually use, for a microlender in Atlantis. You'll work with a small crew, so being easy to work with matters as much as skill.

The work is in Atlantis, Western Cape, so you'll need a reliable way to get there every day.

• Meet business users to turn their questions into report requirements
• Write SQL to pull, join and clean data from several sources
• Automate weekly reports that used to take hours in Excel
• Keep a data dictionary so everyone uses the same definitions
• Check data quality and trace odd numbers back to the source
• Build and maintain Power BI dashboards and data models
• Build simple forecasting and segmentation models in Python or R

• Strong SQL, including joins, window functions and CTEs
• Hands-on Power BI, Tableau or a similar tool
• Able to explain what the numbers mean, not just show them
• Careful with sensitive customer data

• Paid cloud and BI certifications
• Annual bonus tied to company performance
• Latest laptop with extra screen

• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.