Senior Data & AI Engineer for Financial Crime & Fraud

Tyme Group; Gauteng; Hybrid; ZAR 300 000 - 400 000; Full time

Job summary

A technology and product development hub in South Africa is seeking a Senior Data & AI Engineer for their Financial Crime team. In this role, you'll build and maintain high-performance data pipelines for fraud detection and compliance analytics. Candidates should have extensive experience with Python, PySpark, and AWS, as well as a Bachelor's degree. Benefits include a hybrid working model, competitive salary, and a mission-driven team tackling real-world financial crime problems.

Benefits

Hybrid working model with flexible hours

Competitive salary and performance bonuses

Learning support

Qualifications

• 5+ years of experience in data engineering, focusing on Financial Crime/AML.
• Strong skills in Python, PySpark, and SQL (preferably PostGres).
• Experience with Databricks and cloud-based data platforms (preferably AWS).

Responsibilities

• Build and optimize data ingestion pipelines using Python and PySpark.
• Design and maintain data models for Fraud detection.
• Collaborate with cross-functional teams to operationalize models.

Skills

Python

PySpark

SQL

Databricks

Cloud platforms (AWS)

DevOps

CI/CD

Data processing

Hands-on experience with ML models

Education

Bachelor's degree

Tools

Databricks

Snowflake

MLFlow

Job description

A technology and product development hub in South Africa is seeking a Senior Data & AI Engineer for their Financial Crime team. In this role, you'll build and maintain high-performance data pipelines for fraud detection and compliance analytics. Candidates should have extensive experience with Python, PySpark, and AWS, as well as a Bachelor's degree. Benefits include a hybrid working model, competitive salary, and a mission-driven team tackling real-world financial crime problems.