how2apply

Data Engineer (Azure Data Factory)

How2Apply Talent Network

Durban Central, KwaZulu-Natal

Full-time

Posted 1 day ago

Full-time IT & Software

R31 750 – R49 500/month

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Job Description

Build the SQL, models and dashboards that run the weekly meeting at a healthcare administrator in Durban Central. It suits someone who likes knowing exactly what a good day's work looks like.

This post is in Durban Central (KwaZulu-Natal). Please only apply if you can travel there daily.

What your day looks like

Build simple forecasting and segmentation models in Python or R
Build ETL pipelines in SSIS, Azure Data Factory or Python
Check data quality and trace odd numbers back to the source
Automate weekly reports that used to take hours in Excel
Meet business users to turn their questions into report requirements
Keep a data dictionary so everyone uses the same definitions

You'll need

Careful with sensitive customer data
Advanced Excel
Able to explain what the numbers mean, not just show them
Degree in statistics, maths, computer science, economics or a related field
Hands-on Power BI, Tableau or a similar tool

What you get

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

How to apply for this job

Check you meet the must-haves first; recruiters filter on those before anything else.
Have the following on hand (clear photos on your phone are fine at first): academic record showing statistics or maths modules plus screenshots or a link to a dashboard you built, with real data removed.
Use the form on this page. It takes about two minutes and you don't need to upload anything yet.
Watch for a call or WhatsApp from How2Apply over the next 6 working days.

How2Apply recruits for this position on behalf of hiring employers around Durban Central; applications go into our talent pool and shortlisted candidates are introduced directly.

Applying is free. Nobody from How2Apply will ever ask you to pay for anything to get this job.

Before you hit apply

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