Hybrid Senior Data Engineer – Financial Crime

at Tyme

• Job title: Senior Data Engineer – Financial Crime
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, ETL, Kafka, Open Source, Postgres, PySpark, Python, Scala, Spark, SQL
• Location requirements: Hybrid, Ho Chi Minh City, Vietnam

About the role

• Senior Data Engineer joining Financial Crime team to build data pipelines for fraud detection. Working with complex datasets in Databricks and collaborating with cross-functional teams.

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 ensure 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

• 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.