Data Engineer
Requirements
Experience in building data infrastructure and pipelines using modern tools like dbt, Airflow, and Snowflake. Ability to partner with cross-functional teams to define KPIs and implement data-quality best practices in a regulatory environment.
Job Description
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.
Job Description
As a Data Engineer in our KYC & Onboarding area, you will own and build the data infrastructure, analytics pipelines and modelling frameworks that detect, prevent and monitor financial crime through customer onboarding. You'll partner closely with product, compliance, analytics, and operations teams to drive data-led insights and proactive controls that enable safe growth.
Key Responsibilities
Lead data engineering pipeline related to the onboarding / KYC / FinCrime domain; establish best practices around data modelling, testing, monitoring, and deployment.
Define and own the analytics infrastructure roadmap for the Global KYC & Onboarding squad, from data source ingestion through to analytics delivery and dashboard creation.
Build and maintain core datasets focused on KYC onboarding events, customer risk scores, alert triggers, and case outcomes.
Evangelise and lead adoption of modern tooling (e.g., dbt, Airflow, Snowflake, Python, Looker/Superset) to improve reliability, speed, and trust in analytics.
Drive implementation of best practices in data-pipeline instrumentation, monitoring, error-handling, and data-quality in a high-stakes regulatory environment.
Together with the Analytics and Product team, translate complex data into clear, actionable narratives for key stakeholders – enabling informed decision-making around customer acceptance or decline, risk tiering, and remediation prioritization.
Partner with cross-functional teams (compliance, risk, product, operations) to identify new data sources, define tagging strategies, design KPIs (e.g., average time to onboard, false-positive rate), and deliver measurable business impact.
Additional Information
What you get back:
🚀 RSU's in a growing company
💪 An annual self-development budget
❤️ Statutory maternity leave, with a perk of 18 fully paid weeks of parental leave for birth or adoption
❤️ Paternity leave for 18 weeks at full pay
🌿 3 fully paid ‘me days’ per year to help you manage life
🌍 Relocation and visa expenses covered
🏝️ A paid 6-week sabbatical leave after four years
Interested? Find out more:
…or check out our Engineering blog.
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.
Skills
About Wise
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is dual listed on Nasdaq in the US (WSE) on the London Stock Exchange under the ticker, WISE. 19 million people and businesses use Wise globally. In fiscal year 2026, Wise supported around 19 million people and businesses, processing over $240 billion in cross-border transactions and saving customers over $3 billion. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
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