Senior Data Engineer - Financial Crime - HCM

About TymeX

TymeX 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, analytics, AI, and automation.

About the Role

We’re looking for a Senior Data Engineer to join our Financial Crime team. You’ll be part of the group responsible for building and maintaining high-performance data pipelines that drive fraud detection, entity resolution, and compliance analytics across Tyme’s ecosystem. The ideal candidate should relocate to Vietnam.

You’ll work with large, complex datasets in Databricks , integrate data from multiple systems in real time and batch, and help design the data foundation for real-time risk detection and case management.

Key Responsibilities

• Build and optimize data ingestion pipelines using Python and PySpark to collect and transform data from multiple sources (transactions, KYC, AML, authentication, devices, logs, etc.).
• Proficiency in SQL (PostGres preferred)
• Design and maintain data model that support Financial Crime/Fraud detection, profiling, and entity resolution.
• Implement data quality checks and ensur e data reliability across environments.
• Collaborate closely with Data Scientists, Analysts, Compliance, Operations and our Product/Feature teams to operationalize models and rules.
• Utilize jobs, workflows, APIs and streaming to manage large-scale data processing workloads.
• Integrate with external systems (e.g. sanctions, ID&V, biometrics and authentication systems) to enrich risk and identity data.
• Support automation and monitoring of ETL processes to improve operational efficiency.

Must-Have

• Bachelor’s degree.
• 5+ years of experience
• Strong skills in Python, PySpark, Scala and Advanced SQL (preferably PostGres)
• Hands-on experience with Databricks, Snowflake, Fabric or similar
• Experience working with structured and unstructured data in a production environment.
• Experience with Agentic AI, MLFlow, ML models, Eval
• Secure Coding practices – testing/QA
• Comfortable with cloud-based data platforms (preferably AWS).
• Good communication skills in English — able to collaborate with cross-functional teams in an international environment.
• Proficiency in working with Text, Delta, Parquet, JSON, CSV, and XML data formats.
• Working knowledge of Spark structured streaming.
• AWS infrastructure experience, specifically working with S3.
• Solid understanding of git-based version control, DevOps, and CI/CD.
• Experience of working on Atlassian stack a plus.
• Knowledge of common web API frameworks and web services.
• Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals.
• Willingness to embrace modern technology, best practice, and ways of work.
• Nice to Have:
• Experience in Financial Crime/AML, KYC, or fraud detection systems.
• Familiarity with Entity Resolution frameworks (e.g., Quantexa, Sensing, open source Entity Resolution tools).
• Experience with data streaming frameworks (Kafka, Spark Streaming, MQ).
• Be part of a mission-driven team tackling real-world financial crime problems.
• Work with modern data tech stack with Agentic AI and advanced ML.
• Hybrid working model with flexible hours.
• International and collaborative culture — working with colleagues across Vietnam, Singapore, Philippines and South Africa .
• Competitive salary, performance bonuses, and learning support.