Hybrid Privacy by Design Engineer

Aon Corporation

Kraków

Hybrid

PLN 180,000 - 300,000

Full time

12 days ago

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Benefits offered by this job

Hybrid work arrangement
Flexibility to work virtually and from
Office presence

Job summary

Aon Corporation is seeking a Privacy Engineering Consultant to embed Privacy by Design across technology products and AI solutions. You will collaborate with engineering, product, data and security teams to identify privacy risks and implement practical controls.

You will translate privacy findings into technical requirements, advise on data minimisation, pseudonymisation, tokenisation and access controls, and contribute to PIAs/DPIAs and AI/ML considerations.

Qualifications

  • Technical background in software, data, cybersecurity or related areas.
  • Experience with privacy engineering and privacy by design concepts.
  • Knowledge of privacy threat modelling (LINDDUN) and regulatory considerations.

Responsibilities

  • Review products, architectures, data flows and AI solutions to identify privacy risks and recommend controls.
  • Apply privacy threat modelling approaches (LINDDUN) and translate findings into technical requirements.
  • Advise on privacy controls including data minimisation, pseudonymisation, tokenisation and access controls.
  • Provide technical input into AI, machine learning, RAG, PIAs and DPIAs.
  • Develop reusable privacy patterns, guidance and resources to strengthen Privacy by Design across Aon.

Skills

Privacy by Design
Threat modelling
Data privacy
Analytical thinking
Communication

Tools

Python
Java
C#
Go
Scala
JavaScript
LINDDUN
PIAs
DPIAs
Cloud environments
AI/ML

Job description

Aon Corporation is seeking a Privacy Engineering Consultant to embed Privacy by Design across technology products and AI solutions. You will collaborate with engineering, product, data and security teams to identify privacy risks and implement practical controls.

You will translate privacy findings into technical requirements, advise on data minimisation, pseudonymisation, tokenisation and access controls, and contribute to PIAs/DPIAs and AI/ML considerations.

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