Data Engineer (Azure Data Factory)

Questions come to you at a short-term insurer in Centurion, and you answer them with data. This is a good step for someone who wants proper routine and a manager who notices good work.

Home base is a short-term insurer on the Centurion side of Gauteng.

• Present findings to managers in plain language with clear charts
• Automate weekly reports that used to take hours in Excel
• Meet business users to turn their questions into report requirements
• Build simple forecasting and segmentation models in Python or R
• Keep a data dictionary so everyone uses the same definitions
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Mask or remove personal information in data sets under POPIA

• Hands-on Power BI, Tableau or a similar tool
• Careful with sensitive customer data
• Advanced Excel
• At least 2 years in a data or reporting role (not needed for graduate posts)
• Degree in statistics, maths, computer science, economics or a related field

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

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

• 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.