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Design and maintain robust ETL/ELT pipelines, data models, and storage infrastructure that transform high‑volume verification events into clean, audit‑ready analytical datasets.
Strong Python programming, advanced SQL and data‑modeling skills, proven experience with Apache Airflow (or similar orchestrators), and a systems‑oriented mindset for handling event‑driven data at scale.
The role powers Wise’s Global KYC & Onboarding squad by delivering reliable data for product analytics, machine‑learning, and regulatory compliance, enabling the new onboarding platform to scale safely worldwide.
Company Description
Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
We're looking for an experienced Senior Data Engineer to join our Global KYC & Onboarding squad within the FinCrime organisation. You will be instrumental in designing and building the data pipelines, storage infrastructure, and analytical data models that power customer onboarding and financial crime controls across the globe.
This role sits directly between core engineering microservices and product analytics. While customer-facing systems fire dozens of raw operational events per verification flow, our analytics and machine learning teams require structured, clean, and reliable metrics to steer the business. You will own the data journey between these two worlds, transforming high-volume operational events into observable, audit-ready analytical datasets.
Operating across our squad's three core pillars—Business Onboarding Verification, Personal Onboarding Verification, and Wise Platform Verification (our B2B Wise-as-a-Service solution)—you will be the driving force behind modernising our verification data ecosystem, focusing on:
What will you be working on?
You will join the squad at an exciting inflection point. We were the first team at Wise to establish dedicated data engineering, and you’ll join our team of data engineers to scale and professionalise this foundational capability across the entire verification domain.
The core challenge for the team—and your immediate focus—is modernising our data layer while the squad delivers the new Onboarding Platform. We don't hide away for two years to build a finished product; we ship iteratively, learn, and replace legacy components in place. You will ensure that as new platform capabilities go live, our data models, pipelines, and reporting layers scale seamlessly alongside them.
What do you need?
Additional Information
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
#LI-AB3 #LI-Hybrid
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
