AI Privacy Engineer / Data Protection | Lisbon | Hybrid

Decskill; Lisboa; Híbrido; EUR 60 000 - 85 000; Tempo integral

Resumo da oferta

Decskill seeks an AI Privacy Engineer / Data Protection Coordinator to lead privacy for AI initiatives and translate GDPR/EU AI Act into practical controls. You will embed Privacy by Design across AI systems, manage DPIAs, RoPAs, and data flows, and collaborate with engineering, security, and business teams in a hybrid setup.

The ideal candidate has strong privacy knowledge, experience with AI/privacy, and fluency in English to communicate with international teams.

Qualificações

• Professional experience in Data Protection, Privacy, Privacy Engineering, or a related role.
• Strong knowledge of GDPR and European data protection principles.
• Experience conducting DPIAs / Privacy Impact Assessments.
• Experience translating privacy requirements into practical technical controls.
• Experience working with data flows, RoPAs, privacy documentation, and compliance evidence.
• Fluency in English is mandatory.
• Ability to communicate complex privacy requirements clearly to technical and non-technical stakeholders.

Responsabilidades

• Act as the data protection lead for AI use cases and lifecycle.
• Translate GDPR, EU AI Act, internal data protection policies into practical technical guidance for AI engineering teams.
• Ensure data protection is embedded into the design and implementation of AI systems.
• Establish and maintain documentation: data flows, RoPAs, design decisions, controls, safeguards.
• Conduct privacy risk assessments and DPIAs for AI use cases.
• Identify privacy risks related to personal data processing, model behaviour, data flows, and system architecture.
• Define pragmatic privacy controls and mitigation measures with engineering teams.
• Bridge between engineering teams and data protection functions; meet privacy expectations.
• Provide clear recommendations and evidence for privacy reviews and go/no-go decisions.
• Enable scalable privacy governance with evidence of compliance and accountability.
• Embed Privacy by Design and Privacy by Default into AI use cases and platform components.
• Collaborate with AI Engineering, AI Platform, Security, Corporate Data Protection, IT, and business stakeholders.
• Develop reusable privacy patterns, controls, and implementation standards for AI solutions.
• Stay up to date with evolving AI privacy regulations and industry best practices.

Conhecimentos

Data protection

Privacy engineering

GDPR knowledge

AI privacy

Engineering collaboration

Analytical skills

English fluency

Formação académica

Bachelor’s or Master’s degree in Data Protection, Privacy, Law, Information Security, Computer Science

Descrição da oferta de emprego

We are growing. And we are looking for talented people.

At Decskill, we believe that technological excellence is driven by human talent.

We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.

As part of the Astek Group, we combine a strong local culture with a global presence, being active in around 23 countries across 4 continents. This allows us to offer an international context, diverse challenges, and long-term career opportunities, while staying close to our teams.

We would like to meet an AI Privacy Engineer / Data Protection Coordinator for a hybrid working model.

What You’ll Do:

• Act as the data protection lead for AI use cases, ensuring privacy requirements are addressed throughout the AI lifecycle.
• Translate GDPR, EU AI Act, internal data protection policies, and privacy requirements into practical technical guidance for AI engineering and platform teams.
• Ensure data protection requirements are embedded into the design and implementation of AI systems.
• Establish and maintain comprehensive documentation, including data flows, Records of Processing Activities (RoPAs), design decisions, controls, and safeguards.
• Conduct privacy risk assessments and Data Protection Impact Assessments (DPIAs) for AI use cases.
• Identify privacy risks related to personal data processing, model behaviour, data flows, and system architecture.
• Define pragmatic privacy controls and mitigation measures and work with engineering teams to ensure their effective implementation.
• Act as a bridge between engineering teams and data protection functions, ensuring technical implementations meet privacy and compliance expectations.
• Provide clear recommendations and evidence to support privacy reviews and go/no-go decisions.
• Enable scalable privacy governance by ensuring technical implementations and documentation provide evidence of compliance and accountability.
• Embed Privacy by Design and Privacy by Default into AI use cases, agents, tools, and supporting platform components.
• Work closely with AI Engineering, AI Platform, Security, Corporate Data Protection, IT, and business stakeholders.
• Support the development of reusable privacy patterns, controls, and implementation standards for AI solutions.
• Stay up to date with evolving AI privacy regulations, regulatory guidance, and industry best practices.

What We’re Looking For:

• Bachelor’s or Master’s degree in Data Protection, Privacy, Law, Information Security, Computer Science, or a related field.
• Professional experience in Data Protection, Privacy, Privacy Engineering, or a related role.
• Strong knowledge of GDPR and European data protection principles.
• Experience translating privacy requirements into practical technical controls.
• Experience conducting DPIAs / Privacy Impact Assessments.
• Experience working with data flows, RoPAs, privacy documentation, and compliance evidence.
• Understanding of Privacy by Design and Privacy by Default principles.
• Good understanding of AI/ML systems and AI-specific privacy risks.
• Experience working closely with engineering and technology teams.
• Strong analytical and problem-solving skills.
• Ability to communicate complex privacy requirements clearly to technical and non-technical stakeholders.
• Excellent communication and collaboration skills.
• Fluency in English is mandatory.

Nice to Have:

• Experience with AI Privacy or Privacy Engineering.
• Knowledge of the EU AI Act.
• Experience assessing privacy risks in LLM applications or AI Agents.
• Understanding of AI model training, inference, RAG, and data processing architectures.
• Knowledge of data minimisation, anonymisation, pseudonymisation, retention, and deletion controls.
• Experience implementing technical privacy controls such as data masking, access controls, encryption, and data segregation.
• Familiarity with AI governance and AI risk management frameworks.
• Experience working with Data Protection Officers (DPOs) or Corporate Data Protection teams.
• Relevant certifications such as CIPP/E, CIPM, CIPT, or equivalent.
• Experience working in Agile environments and international teams.
• Strong curiosity and motivation to stay ahead of the rapidly evolving AI and privacy landscape.

Are you looking for an environment that values curiosity and commitment? Here, your contribution has real impact and individual growth is taken seriously.

Find with us the right opportunity to grow!

What you can expect from us

• Long-term projects with national and international context.
• Opportunities to grow technically and professionally in the AI and Privacy domains.
• A people-first culture, focused on transparency and trust.
• Teams that value ownership, collaboration, and stability.
• The opportunity to work on cutting-edge AI privacy and data protection challenges with international teams.

Your next challenge might start here!

At Decskill, we are committed to equal opportunities and non-discrimination. We promote a culture of diversity and inclusion, where recruitment and career progression are based exclusively on talent, regardless of age, gender, ethnicity, race, nationality, or any other form of discrimination incompatible with human dignity.