Data Engineer

Requirements

• Lead data engineering pipeline related to the onboarding / KYC / FinCrime domain
• Define and own the analytics infrastructure roadmap
• Build and maintain core datasets
• Drive implementation of best practices in data-pipeline instrumentation

What You'll Be Doing

• 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
• Translate complex data into clear, actionable narratives for key stakeholders
• Partner with cross-functional teams to identify new data sources and deliver measurable business impact