Data Engineer at Wise
United Kingdom
Posted
on-site · full-time · Visa sponsorship
Responsibilities:
- Own and build data infrastructure and analytics pipelines for KYC, onboarding and financial crime detection.
- Design, maintain and document core datasets: onboarding events, risk scores, alert triggers and case outcomes.
- Define the analytics roadmap for the Global KYC & Onboarding squad from ingestion to dashboard delivery.
- Implement best practices with dbt, Airflow, Snowflake, Python and BI tools (Looker/Superset).
- Instrument pipelines with monitoring, error handling and data-quality checks in a regulated environment.
- Partner with product, compliance, analytics and operations to deliver KPIs and measurable business impact.
- Translate complex data into clear narratives and dashboards to support decision-making and remediation prioritization.
Requirements:
- Proven experience building and operating scalable data pipelines and models (dbt, Airflow, Snowflake preferred).
- Strong Python skills for ETL, transformation and automation.
- Experience with data modelling, testing, monitoring and quality enforcement.
- Comfortable working in a regulatory/financial-crime context and handling sensitive data.
- Experience creating dashboards and KPIs to inform product and compliance decisions.
- Strong collaboration and communication skills; ability to influence cross-functional stakeholders.
- Degree in a relevant field or equivalent practical experience.