Data Engineer
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Job Summary
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. Youll 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:
RSUs 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:
Our Engineering career map
or check out our Engineering blog.
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
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Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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 cro ... View more
