Technology
Weekly office requirement: Hybrid, 1 day/week
Employment type: Permanent, full-time, employee
Linked Seniority level: Mid-Senior
Every business is using AI. The ones that get it right start with real people. GWI is the human intelligence underneath: verified data that helps businesses understand what moves their audience, and act on it faster. If you want your work to matter, keep reading.
What will I be doing?
As our Data Engineer you’ll maintain and enhance the Business Data Platform that sits at the heart of our BI Engineering team, serving analytics built on GWI’s internal data to the wider business so it can make confident decisions. You’ll work closely with colleagues across GWI to keep pipelines dependable, data models clear and analytics-ready, and data securely accessible across dashboards and AI tooling.
The accuracy and accessibility of our data shape how we measure performance, plan ahead and adopt AI-assisted analytics, so your work directly supports GWI’s goal of putting consumer insights at the heart of every organisation.
A few things you’ll be responsible for
- Building and running reliable, well-monitored data pipelines, infrastructure and warehouse, backed by strong testing and data quality practices.
- Designing analytics-ready data models with clear lineage and documentation, in close partnership with analysts and stakeholders.
- Optimising warehouse cost and performance through query tuning, efficient data modelling and careful resource management.
- Managing data access so the right people and AI assistants can securely find, understand and us