Data Engineer (Azure Data Factory)

Build the SQL, models and dashboards that run the weekly meeting at a microlender in Brits. Someone who likes a bit of variety, but also likes doing things the right way, will enjoy this.

The site is in Brits; early starts mean public transport timing matters, so check your route before applying.

• Mask or remove personal information in data sets under POPIA
• Write SQL to pull, join and clean data from several sources
• Check data quality and trace odd numbers back to the source
• Meet business users to turn their questions into report requirements
• Automate weekly reports that used to take hours in Excel
• Build simple forecasting and segmentation models in Python or R

• Able to explain what the numbers mean, not just show them
• Hands-on Power BI, Tableau or a similar tool
• Advanced Excel
• At least 2 years in a data or reporting role (not needed for graduate posts)
• Careful with sensitive customer data

• Microsoft PL-300 Power BI Data Analyst certification
• Industry knowledge in retail, insurance or credit

• Paid cloud and BI certifications
• Hybrid work with two office days
• Annual bonus tied to company performance

• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.