Data Engineer (Azure Data Factory) – Experienced

Questions come to you at a healthcare administrator in Alberton, and you answer them with data. It suits someone who likes knowing exactly what a good day's work looks like.

The site is in Alberton; early starts mean public transport timing matters, so check your route before applying. Overtime comes up in peak season and is paid.

• Check data quality and trace odd numbers back to the source
• Keep a data dictionary so everyone uses the same definitions
• Write SQL to pull, join and clean data from several sources
• Present findings to managers in plain language with clear charts
• Meet business users to turn their questions into report requirements
• Build simple forecasting and segmentation models in Python or R
• Build and maintain Power BI dashboards and data models

• Careful with sensitive customer data
• 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

• Microsoft PL-300 Power BI Data Analyst certification
• Python with pandas for data wrangling
• Industry knowledge in retail, insurance or credit

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

• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.
• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".