Data Engineer (Azure Data Factory)

A short-term insurer in Bellville needs dashboards people trust and numbers that add up. It's a practical job: you'll see what you got done before you go home.

The site is in Bellville; early starts mean public transport timing matters, so check your route before applying. There's a probation period of three months before the contract is confirmed.

• Check data quality and trace odd numbers back to the source
• Write SQL to pull, join and clean data from several sources
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Automate weekly reports that used to take hours in Excel
• Meet business users to turn their questions into report requirements
• Mask or remove personal information in data sets under POPIA
• Keep a data dictionary so everyone uses the same definitions

• Careful with sensitive customer data
• Able to explain what the numbers mean, not just show them
• Strong SQL, including joins, window functions and CTEs
• Advanced Excel

• Experience with Databricks, Snowflake or Fabric
• Python with pandas for data wrangling

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

• 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".