# Senior Data Engineer - Financial Crime - HCM

> GoTymeX · Ho Chi Minh City, Vietnam (Hybrid) · Full-time · Posted 2026-06-05

**Workplace:** hybrid

**Department:** Fincrime

## Description

**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.

## Requirements

**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).

## Benefits

-   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.

## Apply

[Apply at GoTymeX](https://apply.workable.com/gotymex/j/23C0458016/apply)

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