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

Full-Stack Data Engineer

Key skills