Senior Privacy Engineer (Privacy-Enhancing Technologies)
Johannesburg - South Africa
Job Summary
- Implement privacy-enhancing techniques (PETs) such as k-anonymity l-diversity t-closeness and differential privacy across data pipelines and analytics systems.
- Design and enforce PII minimisation strategies to ensure only necessary personal data is processed and exposed.
- Implement data anonymisation pseudonymisation and masking techniques across datasets and data products.
- Support secure access control models in collaboration with Cybersecurity Platform and Cloud Engineering teams.
- Ensure end-to-end data lineage tracking and auditability across data pipelines and analytics workflows.
- Embed privacy-by-design principles into data ingestion transformation feature engineering and ML pipelines.
- Support compliance with internal governance frameworks including Data Sharing and Monetisation Policy approvals.
- Collaborate with Data Engineers MLOps Engineers Big Data Engineers and API Developers to implement privacy controls in production systems.
- Assess privacy risks in data products AI models and analytics solutions and recommend mitigation strategies.
- Support regulatory compliance requirements and contribute to audit readiness and reporting.
- Develop documentation standards and reusable privacy engineering patterns.
- Bachelors degree in Computer Science Information Systems Cybersecurity Data Science or related discipline.
- 610 years experience in data engineering cybersecurity privacy engineering or related roles.
- Strong knowledge of privacy-enhancing technologies (PETs) including k-anonymity l-diversity t-closeness and differential privacy.
- Experience implementing data anonymisation masking and encryption techniques in enterprise environments.
- Familiarity with data governance privacy regulations and compliance frameworks.
- Experience working with cloud data platforms (Azure AWS or GCP) and distributed data systems.
- Knowledge of telecommunications subscriber data or geospatial data environments is advantageous.
- Certifications in data privacy or security (e.g. CIPT CIPP/E CISSP CISM) are beneficial.
- Privacy engineering and PET implementation
- Data anonymisation and de-identification techniques
- Data governance and compliance
- Cloud data platform security
- Data lineage and auditability
- Risk assessment and mitigation
- Secure data architecture collaboration
- Regulatory and policy compliance
- Cross-functional engineering collaboration
- Privacy-by-design thinking
Required Experience:
Senior IC
About Company
With 15 years of experience in the Telecommunications and Financial Services industry in Africa and the Middle East, we are experts at supporting our clients through their digital transformation journeys. We believe in blending traditional methods with cutting-edge strategies to drive ... View more