Data Integration Engineer - FinCrime Platform

About TymeXTymeX is Tyme Group's Technology & Product Development Hub with a global mission to become serial bank builders.Our Financial Crime platform plays a critical role in protecting customers and the bank from fraud, money laundering, and other financial crimes using advanced data, AI, and automation.About The RoleWe are looking for a highly skilled Data Integration Engineer to join our Financial Crime Platform team.In this role, you'll design and maintain data integrations across a variety of systems — from internal banking platforms to external compliance, biometric, and risk data providers.You will work closely with Data Engineers, Product Owners, and Compliance teams to ensure the seamless flow of data that supports profiling, entity resolution, and case management for FinCrime investigations.Key ResponsibilitiesDesign, implement, and maintain data integration pipelines between TymeX's FinCrime platform and external systems (e.g. Authentication, ID, sanctions, behavioural, device and other third party platforms) Build and optimize data ingestion and transformation processes using Python and PySpark, Declarative Pipelines, Streaming technologies. Synchronous Real Time Data Ingestion - optimization and performance benchmarking Work with APIs, message queues, and data streaming frameworks to ensure smooth data exchange between systems. Collaborate with product and operations/compliance teams to define integration requirements and data mapping logic. Ensure integrations meet security, reliability, and scalability standards. Support troubleshooting and performance tuning for data flows and services. Maintain integration documentation and version control. RequirementsMust-Have: 3+ years of experience as an Integration Engineer, Data Engineer, or Backend Developer. Strong programming skills in Python and experience with PySpark, Scala and/or SQL. Proven experience with API integrations (REST, JSON, OAuth). Solid understanding of ETL / ELT processes and data pipelines. Hands-on experience with cloud platforms (AWS preferred). Strong SQL skills and familiarity with Databricks or Snowflake. Good English communication skills — able to work in cross-functional and international teams. Nice to Have: Familiarity with tools such as integration patterns best practices. Experience in Financial Crime / Fraud, KYC systems or compliance domains. Understanding of data orchestration frameworks. Exposure to data streaming (Kafka, Spark Streaming) or real-time risk detection systems. BenefitsBe part of a mission-driven company tackling financial crime with technology and data. Work with a modern data stack. International exposure — collaborate with teams across Vietnam, Philippines, Singapore, and South Africa. Hybrid working model and flexible environment. Competitive salary, performance bonuses, and professional growth opportunities.