About the role

Why you would like it
* Greenfields rebuild of data pipelines and core datasets 
* Blend of deep SQL + modern Python data engineering 
* Hybrid: 4 days in office

The opportunity
This is a permanent Data Engineer role where the focus is rebuilding data pipelines to support near real-time dashboards and better decision-making. You’ll work across SQL and Python to develop robust, maintainable pipelines and improve data reliability. It’s suited to someone who can handle detailed SQL work when required, but prefers building scalable data engineering patterns rather than producing one-off reports.

Company profile
A globally operating technology organisation investing heavily in platform modernisation, with a clear focus on scalable SaaS delivery and measurable customer impact.

The role
* Design and build new data pipelines and data assets 
* Write and optimise SQL for validation, analysis, and correctness 
* Develop Python-based data engineering components and tooling 
* Improve data quality, timeliness, and observability in production

Your fit
* Strong Data Engineering experience at senior level 
* Confident in SQL and Python in production environments 
* Experience building pipelines and improving reliability/quality practices 
* Comfortable partnering with engineers and stakeholders to define outcomes

If this sounds like you, send us your CV. We'll move quickly.
Please note only those with valid working rights for New Zealand will be considered.