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Data Protection Tokenization Specialist

Hybrid in Madrid·Full-time·Added yesterday (last checked 9 Nov)

Agency
Q-TECH

91 open roles

Our summary

Salary
€60,000 - €90,000 a year

About €3,460 - €4,870 a month after tax, or €3,480 - €5,380 under the Beckham regime.

Work mode
Hybrid, Madrid
Contract
Permanent, full-time hours
Spanish
Expected (ad in Spanish)
Experience
7+ years
Benefits
Private health insurance, life insurance

Visa options

  • The ad doesn’t mention sponsorship

    No sponsorship mentioned, and this kind of work is rarely sponsored in Spain.

  • Pay clears the EU Blue Card threshold

    The advertised pay is over the €41,356 bar, so the route exists if Q-TECH uses it.

More jobs over the Blue Card threshold

Skills

Nice to have

This job advert was originally written in Spanish.

Requirements

What we're looking for

  • 7 or more years of experience in data security, data protection, privacy engineering, cloud security, or security architecture, with recent exposure to AI/ML and GenAI data flows.

  • Solid hands-on experience in tokenization, pseudonymization, masking, encryption, DLP, data classification, and secure data processing.

  • Experience identifying and remediating data vulnerabilities in cloud applications and platforms, extended to prompts and responses, RAG, model access, agent data flows, and AI-driven exfiltration risks.

  • Practical understanding of how data protection controls must evolve for the most advanced AI use cases.

  • Demonstrated ability to use AI tools that improve productivity and workflows, applying critical judgment for the responsible and ethical use of data and AI outputs.

Pay & benefits

What you'll get

  • Compensation: €60,000 to €90,000 gross annual, depending on experience.

  • Full benefits package: hospital medical insurance, life and accident insurance, certification and training sponsorship, employee assistance program, and a very competitive leave policy.

The role

Whenever a team uses real data with AI (in prompts, responses, knowledge bases, or agents), you define how that data remains protected. Your responsibilities will be:

What you'll do

  • Designing and implementing tokenization, pseudonymization, anonymization, masking, and encryption patterns.

  • Defining data protection controls for prompts, responses, RAG, and AI data flows.

  • Integrating DLP, data classification, and secure logging into AI solutions.

  • Collaborating with AI architects and engineers on secure data processing patterns.

  • Evaluating data exposure risks from internal and third-party AI services.

  • Defining encryption at rest and in transit and privacy policy compliance in architectures integrated with Google Cloud.

How you'll work

  • Location: Madrid.

  • Direct hiring with the company, with a permanent contract.

  • Hybrid model: 3 days in the office and 2 remote.

About Q-TECH

Q-TECH is a technology recruitment company founded in 2000, with a team of 20 people and annual revenue of approximately 2 million euros. The company specializes in connecting IT professionals with companies, focusing on tech talent acquisition across various departments including backend, frontend, data, infrastructure, and more.

Q-TECH operates with a hybrid work model in Barcelona, Spain, and emphasizes a close, authentic approach to recruitment. The company is active in the IT community and offers roles in areas such as cloud administration, software development, and project management, making it a potential opportunity for international tech professionals seeking to work in Spain.

Industry
Recruiting

In their own words

About the company & team

A global asset manager with European roots is building a new technology hub in Madrid. It is a full technological capability for the company worldwide, with direct hiring. Joining now means coming in from the ground up and helping to define how teams are structured and how technical decisions are made in the city.

AI is changing the business and also the threat landscape. The company is creating a dedicated AI Security team so that the adoption of generative AI and agents occurs securely. The team brings together cybersecurity, engineering, architecture, data protection, offensive security, and risk.

The Madrid team is being built from scratch, with the support of the group's central infrastructure. The focus is on application and software security, with Google Cloud as the primary platform. The infrastructure, SIEM, and monitoring are provided by the group, so the team concentrates on protecting how AI is built and used. You will report to the head of the AI Security team.

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