Senior Data Engineer - Financial Crime

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 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

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.
* Performance-based bonus and equity participation in GoTyme Group