THE COMPANY:

Wagestream is on a mission to bring better financial wellbeing to frontline workers.
We partner with some of the world’s most famous employers, like Bupa, Burger King, Green King and the mighty NHS to give their teams access to fairer financial services - all built around flexible pay. Over three million people can now choose how often they’re paid, track their shifts and earnings, start saving, use budgeting tools, get free financial coaching, and access fairer financial products. All in one financial wellbeing super-app.
Wagestream is unique: VC-backed and growing at scale-up pace, but with a social conscience. Some of the world’s leading financial charities and impact funds were our founding investors, and we operate on a social charter - which means every product we build has to improve financial health and reduce the $5.6bn ‘premium’ lower-income earners pay for financial services each year.
You’d be joining a team of over 200 passionate, ambitious people, across Europe and the USA, building a category-leading fintech product and all united by that same mission.

WHAT EXPERIENCE MIGHT YOU HAVE?

Must-haves: (But if you’re close… we’d still love to talk to you!)

• Strong SQL and analytics engineering experience, ideally in a modern stack (dbt + cloud warehouse).
• Track record of owning data domains end-to-end (from ingestion/modeling to BI dashboards).
• Experience working with business leaders and translating ambiguous needs into structured data solutions.
• Strong focus on data quality, testing, and governance.
• Ability to balance quick delivery with building scalable foundations.

• Leading the design and build of Ops data models in dbt, in domains such as FinCrime, TechOps and Customer Support.
• Creating governed, auditable pipelines to replace fragile spreadsheets.
• Partnering with Ops leadership to define metrics and build strategic dashboards that inform compliance, client reporting, and operational strategy.
• Establishing testing, documentation, and governance practices across Ops data.
• Acting as the Ops data owner, shaping the roadmap for data improvements and surfacing risks/issues early.
• Contributing to central Data initiatives (quality, lineage, forecasting, AI insights).