Senior Privacy Engineer (Privacy-Enhancing Technologies)

SUMMARY:
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

POSITION INFO:
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 Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Data Science or related discipline. 6-10 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