Data Engineer (Azure Data Factory)

You'll turn messy data into reports managers actually use, for a telecoms provider in Germiston. You'll work with a small crew, so being easy to work with matters as much as skill.

This post is in Germiston (Gauteng). Please only apply if you can travel there daily. Start date: as soon as possible for the right person.

• Keep a data dictionary so everyone uses the same definitions
• Present findings to managers in plain language with clear charts
• Meet business users to turn their questions into report requirements
• Check data quality and trace odd numbers back to the source
• Build ETL pipelines in SSIS, Azure Data Factory or Python

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

• Python with pandas for data wrangling
• Microsoft PL-300 Power BI Data Analyst certification

• Hybrid work with two office days
• Paid cloud and BI certifications
• Latest laptop with extra screen

• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.
• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.