Data Engineer (Azure Data Factory)

Questions come to you at a microlender in Centurion, and you answer them with data. It's the kind of job where doing the basics well every day gets you noticed.

This post is Centurion-based, with most of your time spent at a microlender.

• Build simple forecasting and segmentation models in Python or R
• Mask or remove personal information in data sets under POPIA
• Write SQL to pull, join and clean data from several sources
• Keep a data dictionary so everyone uses the same definitions
• Meet business users to turn their questions into report requirements
• Build ETL pipelines in SSIS, Azure Data Factory or Python

• At least 2 years in a data or reporting role (not needed for graduate posts)
• Able to explain what the numbers mean, not just show them
• Hands-on Power BI, Tableau or a similar tool
• Degree in statistics, maths, computer science, economics or a related field
• Strong SQL, including joins, window functions and CTEs
• Advanced Excel

• Experience with Databricks, Snowflake or Fabric
• Microsoft PL-300 Power BI Data Analyst certification

• Annual bonus tied to company performance
• Hybrid work with two office days
• 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.