Fraud & Forensics Data Engineering

JOB OPPORTUNITY: SENIOR – FRAUD & FORENSICS DATA ENGINEER

Location: Johannesburg / Hybrid-3 days in the office

Industry: Telecommunications / Fintech / Financial Services

Contract: 6 Months independent contract-Senior

We are looking for an experienced senior: Fraud & Forensics Data Engineer to join a leading organisation and deliver data engineering solutions that support fraud detection, forensic investigations and financial crime analytics across multiple markets.

This is a hands-on technical role requiring strong data engineering skills combined with an understanding of fraud and financial crime environments.

Key Responsibilities

• Design, develop, test, deploy and support fraud and financial crime data solutions.

• Translate fraud problem statements and investigation requirements into practical technical solutions.

• Design and develop ETL/ELT pipelines, data models, analytical datasets and data products.

• Implement batch, streaming and event-driven data ingestion solutions.

• Develop fraud-specific data marts, dimensional models, star schemas and analytical views.

• Build reusable data products supporting transaction monitoring, suspicious activity, customer behaviour, merchant/agent patterns and forensic investigations.

• Develop analytical datasets and reporting layers for fraud dashboards, alerts, scorecards and trend analysis.

• Implement data quality checks, validation rules, reconciliation logic and exception handling.

• Troubleshoot data pipeline failures, transformation issues, latency and data-quality problems.

• Support fraud investigation teams with data extracts, investigation packs and pattern-analysis datasets.

• Automate recurring data preparation, monitoring, validation and reporting processes.

• Ensure solutions comply with data governance, security, privacy, audit and regulatory requirements.

• Work closely with Fraud & Forensics, Data, Technology, Risk, Compliance and Information Security teams.

• Provide technical documentation, knowledge transfer and post-deployment support.

Minimum Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering or a related field.

• 5–7+ years' experience in Data Engineering, Data Modelling or Data Architecture.

• Strong hands-on experience with: