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