Full-Stack Data Engineer (SA Remote)

This role is for you if you enjoy building real data solutions end-to-end — not just one piece of the puzzle.

At NIVA Health, we’re growing our data capability and looking for a Full-Stack Data Engineer who’s comfortable working across the full data lifecycle:from pulling data in, cleaning it up, building pipelines — all the way through to dashboards and usable insights.

You won’t be boxed into a single lane.You’ll work on the back end and the front end of data, alongside a collaborative team, solving practical problems that impact healthcare operations every day.

What you’ll be working on

You’ll help design, build, and maintain data solutions that power reporting and decision-making across the business.

That includes:

Building and maintaining data pipelines using Google Cloud Platform (BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler).
Cleaning, transforming, and organising data from multiple sources (APIs, spreadsheets, internal systems).
Automating ETL / ELT workflows to improve reliability and efficiency.
Writing Python (and some Bash) scripts to support data processing and internal tools.
Building and maintaining dashboards and KPI reports using Looker Studio (and supporting data visualisation needs).
Preparing datasets for simple predictive or forecasting use cases as the team evolves.

This is a hands-on role — you’ll be writing code, fixing issues, improving pipelines, and seeing your work used by real teams.

You’ll be a great fit if

You have 2+ years’ experience in data engineering, analytics engineering, data science, or software engineering.
You’re comfortable working with GCP, especially BigQuery.
You use Python confidently for data processing and automation.
You have solid SQL skills and understand data modelling basics.
You’ve built or maintained data pipelines before (batch or streaming).
You’ve worked with dashboards or BI tools (Looker / Looker Studio preferred).
You enjoy working across both technical backend tasks and user-facing reporting.

Nice to have

Experience with Apache Airflow / Cloud Composer.
Exposure to Apache Beam.
Familiarity with Vertex AI, AutoML, or basic ML workflows.
Experience supporting operational or healthcare data.

Salary

$1500 - $1800Final offer will depend on experience and technical depth.

#IND-INT

Details

Location

South Africa

Salary

$1,500 – $1,800/year

Experience

Min. 2 years2+ years’ experience in data engineering, analytics engineering, data science, or software engineering

Technologies

This role is for you if you enjoy building real data solutions end-to-end — not just one piece of the puzzle.

What you’ll be working on

You’ll help design, build, and maintain data solutions that power reporting and decision-making across the business.

That includes:

Building and maintaining data pipelines using Google Cloud Platform (BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler).
Cleaning, transforming, and organising data from multiple sources (APIs, spreadsheets, internal systems).
Automating ETL / ELT workflows to improve reliability and efficiency.
Writing Python (and some Bash) scripts to support data processing and internal tools.
Building and maintaining dashboards and KPI reports using Looker Studio (and supporting data visualisation needs).
Preparing datasets for simple predictive or forecasting use cases as the team evolves.

This is a hands-on role — you’ll be writing code, fixing issues, improving pipelines, and seeing your work used by real teams.

You’ll be a great fit if

You have 2+ years’ experience in data engineering, analytics engineering, data science, or software engineering.
You’re comfortable working with GCP, especially BigQuery.
You use Python confidently for data processing and automation.
You have solid SQL skills and understand data modelling basics.
You’ve built or maintained data pipelines before (batch or streaming).
You’ve worked with dashboards or BI tools (Looker / Looker Studio preferred).
You enjoy working across both technical backend tasks and user-facing reporting.

Nice to have

Experience with Apache Airflow / Cloud Composer.
Exposure to Apache Beam.
Familiarity with Vertex AI, AutoML, or basic ML workflows.
Experience supporting operational or healthcare data.

Salary

$1500 - $1800Final offer will depend on experience and technical depth.

#IND-INT