Full-StackDataEngineer

**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 (Look