Data Engineer – Global KYC

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 ResponsibilitiesLead 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.Qualifications : Required Qualifications & SkillsAdvanced proficiency in SQL and Python (able to build production-grade analytics pipelines and models).Proven experience in building robust data pipelines and effective data models in a high-volume environment.Hands-on experience with an orchestration tool (e.g. Airflow) or equivalent workflow scheduling.Strong project leadership and stakeholder-management skills comfortable shaping strategy and delivering on roadmap with rigorous communication.Experience with BI tools (e.g. Looker Superset Tableau) and working closely with analysts and engineers to deliver trusted dashboards.Empathy for stakeholders (compliance ops product) and a proactive mindset in identifying and solving their problems in a regulated environment.NicetoHaveExperience with modern analytics engineering stack: e.g. dbt Snowflake/BigQuery/Databricks event-streaming data (Kafka/Kinesis).Previous experience in a fintech neobank or payments company with international operations and regulatory scope.Demonstrable expertise in FinCrime / KYC / Onboarding or Risk & Compliance analytics (for example: building models/metrics around onboarding conversion falsepositive reduction watch-list matching alert triage).Exposure to machine learning or statistical modelling applied to onboarding risk scoring or fraud/AML detection.What We OfferStarting Salary: 105000 - 130000 RSUWise BenefitsInterested Find out more:The Wise Tech Stack 2025 Edition.Scaling our Infrastructure; how we make it workWise Engineering   Information : 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 .Keep up to date with life at Wise by following us on LinkedIn and Instagram.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 .Keep up to date with life at Wise by following us on LinkedIn and Instagram.Remote Work : NoEmployment Type : Full-time Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Experience: years Vacancy: 1