Senior Privacy Engineer (Privacy-Enhancing Technologies)

Our client in the Telecommunications & Networking sector is seeking a Senior Privacy Engineer (Privacy-Enhancing Technologies) on a contract duration of 6 months.

Role Purpose

The Senior Privacy Engineer is responsible for designing and implementing privacy-enhancing technologies (PETs) across enterprise data platforms pipelines and analytics systems. The role ensures that sensitive subscriber customer and geospatial data is protected through advanced anonymisation minimisation and privacy-preserving techniques. The Privacy Engineer enables compliant and secure data sharing and monetisation by embedding privacy-by-design principles into all data and AI workflows.

Key Responsibilities

• 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.

Qualifications & Experience

• 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.

Key Competencies

• 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

Employment Type : Contract
Experience: years
Vacancy: 1