Are you passionate about Privacy and Data Protection? Do you thrive in a global environment and enjoy turning legal and policy requirements into practical technical solutions? We are looking for a dedicated professional to join our Privacy Team, supporting Privacy by Design and Default across systems, applications, and business processes.

In this role, you will contribute to privacy engineering standards and scalable compliance frameworks, promoting a strong privacy culture within Allianz. If you have a proactive mindset, technical expertise, and a passion for privacy, we would love to hear from you!

What You'll Be Doing:

Provide technical privacy support across strategic and operational activities, translating legal and policy requirements into practical technical measures across systems, applications, platforms and business processes
Support Privacy by Design and by Default implementation across the full lifecycle of processing activities, including project initiation, architecture and design reviews, procurement, development, testing, deployment, maintenance, change management and legacy system remediation
Bring a technical lens to PIAs/DPIAs and privacy risk assessments by analysing system design, data flows, default settings, access models, retention logic, deletion mechanisms, and technical safeguards, while supporting the operationalization of privacy requirements through internal privacy platforms and governance workflows
Be a strategic advisor and work closely with Engineering, Enterprise Architecture, Information Security, Cyber, Data, AI and business teams to embed privacy requirements into the SDLC / DevSecOps lifecycle, including privacy requirements in design gates, reusable control patterns, technical acceptance criteria and remediation plans
Assess the adequacy of technical and organisational measures protecting personal data, including areas such as access control, IAM, encryption, pseudonymisation, anonymisation, logging, retention, deletion, data minimisation, segregation, secure configuration and monitoring
Support the DPO in personal data breach management by analysing incidents from a privacy perspective, assessing the nature of affected data and systems, evaluating likely impacts on individuals’ rights and freedoms, helping determine notification implications, and recommending containment, remediation and control improvements in coordination with IT Security and Cyber teams
Review third-party solutions, off-the-shelf software, cloud services and other technology-enabled processing activities from a technical privacy standpoint, ensuring that configurable features, data flows and default settings align with applicable laws, internal privacy requirements and intended purposes
Contribute to the design and maintenance of privacy engineering standards, implementation guidance, technical control libraries, retention and deletion models, default-setting baselines and privacy test cases to support consistent and scalable privacy compliance across the organisation
Help define and track privacy engineering evidence, metrics and remediation actions, ensuring that technical safeguards remain effective over time and that the organisation can demonstrate accountability for the measures implemented
Promote a strong privacy engineering culture through practical guidance, targeted awareness sessions and collaboration with stakeholders, helping both technical and non-technical teams operationalise privacy requirements in a proportionate and solution-oriented manner

What You Have:

A bachelor’s degree in Computer Science, Information Security, Cybersecurity, Software Engineering, Artificial Intelligence or a related technical field is essential
Professional certifications are preferred rather than mandatory. Particularly relevant certifications may include CIPT, CDPSE, AIGP, CISM, CISA, ISO 27001, CISSP, cloud security certifications, OneTrust certification, or other technical privacy, security or AI governance credentials
Between 2 and 5 years of experience in a technical role such as software engineering, security engineering, cloud security, architecture, cyber, data engineering or privacy engineering
Fluency in written and spoken English is mandatory. French and/or German would be a strong advantage

Key Requirements:

Strong understanding of systems, applications, APIs, infrastructure and data flows, with the ability to analyse technical designs and translate them into privacy risks, safeguards and implementation requirements
Good knowledge of technical and security concepts relevant to privacy, including secure design, IAM, encryption, pseudonymisation, anonymisation, logging, retention, deletion, access control, cloud environments, incident concepts and control validation
Practical experience in supporting architecture reviews, SDLC / DevSecOps processes, technical assessments, control design and cross-functional remediation planning
Understanding of, or willingness to work with, global privacy requirements and recognised governance frameworks such as GDPR, international privacy laws, Allianz Privacy Standard, ISO 27001 / 27701, the NIST Privacy Framework and secure development practices
Experience or familiarity with privacy-relevant tools and domains such as OneTrust, data discovery or mapping tools, cloud platforms, IAM solutions, logging environments and workflow automation would be an advantage
Ability to support personal data breach assessments by interpreting technical facts, distinguishing security events from privacy impact, and contributing to structured and defensible risk assessments for affected individuals
Strong analytical and communication skills, with the ability to turn technical and regulatory complexity into clear, actionable advice for legal, technical, business and executive stakeholders
Ability to work effectively across multicultural and cross-functional environments, with strong collaboration, influencing and stakeholder-management skills
Proactive, structured and solution-driven mindset, with a strong sense of accountability, confidentiality and professional integrity
Coding, scripting or automation capability would be an advantage, particularly where it supports control

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