Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
About the role
- Graph Data Engineer for Financial Crime platform at TymeX, designing graph data models and pipelines. Collaborating with teams to uncover fraud and optimize data performance.
Responsibilities
- Design and implement **graph data models** that represent complex relationships between customers, organizations, transactions, devices, behaviour and events.
- Build **graph data pipelines** to extract, transform, and load (ETL) data from multiple internal and external sources.
- Develop efficient **queries and Graph Data Science algorithms** to support entity resolution, link analysis, and investigative insights.
- Work with graph visualization tools to build intuitive investigation tools for investigators and analysts.
- Collaborate with **Financial Crime/Fraud analysts** to translate investigation use cases into graph-driven solutions.
- Optimize data performance and ensure data quality across graph structures.
- Partner with software engineers and data scientists to integrate graph data into wider Financial Crime/Fraud workflows and detection logic.
Requirements
- **Must-Have:**
- 3+ years of experience in **Data Engineering, Graph Data Modeling**, or related fields.
- Hands-on experience with **graph databases** (e.g., Neo4j, TigerGraph, JanusGraph, Neptune or similar).
- Proficiency in **Python or PySpark** for data manipulation and integration on Databricks.
- Solid understanding of **data modeling, ETL, and query languages** (Cypher preferred).
- Strong analytical mindset and problem-solving skills.
- Good English communication skills (written and verbal).
- Ability to work effectively in **cross-functional, international teams.**
- **Nice to Have:**
- Experience with graph visualization tools (Bloom, Linkurious etc)
- Knowledge of **Entity Resolution, Fraud Detection, or AML / KYC** systems.
- Experience integrating graph databases with** case management or Financial Crime/Fraud workflows.**
- Familiarity with **cloud-based data platforms** (AWS).
Benefits
- Join a **mission-driven product** tackling real-world financial crime challenges through data and technology.
- Work with **modern graph technologies** and cutting-edge data platforms.
- Collaborate with **global teams** across Vietnam, Philippines, Singapore, and South Africa.
- Hybrid working model, flexible hours, and a diverse, inclusive environment.
- Competitive salary and professional growth opportunities.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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