Data Engineer - KYC & Onboarding

hackajob • United Kingdom

Visa Sponsorship Relocation

This Job is No Longer Active This position is no longer accepting applications

AI Summary

As a Data Engineer in the KYC & Onboarding area, you will own and build data infrastructure, analytics pipelines, and modeling frameworks to 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 for safe growth. Key requirements include expertise in modern data tooling, strong data quality practices, and experience in high-stakes regulatory environments.

Key Highlights

Own and build data infrastructure for KYC & onboarding

Partner with product, compliance, analytics, and operations teams

Implement modern tooling like dbt, Airflow, Snowflake, Python, Looker/Superset

Focus on data quality, monitoring, and regulatory compliance

Deliver actionable insights for customer acceptance, risk tiering, and remediation

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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 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

Translate complex data into clear, actionable narratives for key stakeholders

Partner with cross-functional teams to identify new data sources, define tagging strategies, design KPIs, and deliver measurable business impact

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Technical Skills Required

Python dbt Airflow Snowflake

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Benefits & Perks

RSU's in a growing company

Annual self-development budget

Statutory maternity leave with 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

Relocation and visa expenses covered

Paid 6-week sabbatical leave after four years

Job Description

Wise is a global technology company, building the best way to move and manage the world’s money.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.More about and .

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