Cybersecurity Analytics Engineer

Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, they employ around 150 professionals who deliver a full range of services including specialist and executive recruitment, employee outsourcing, HR consulting, employer branding, and market research. Their division-based structure combines deep industry expertise with functional specialization and they act as a trusted partner for employers and candidates, connecting people with opportunities and helping build successful teams.

• Minimum 3 years of experience in CyberSecurity, Data Security, Risk, or Compliance.
• Knowledge of data protection, privacy, and information classification.
• Understanding of data anonymization techniques such as masking, tokenization, redaction, grouping, and k-anonymisation.
• Experience working in regulated environments, preferably financial sector.
• Ability to analyze risk and assess security processes and controls.
• Very good knowledge of English.

Nice to have:

• Experience with tools like Privitar, Delphix, or CA TDM.
• Knowledge of data protection regulations including GDPR.
• Understanding of Data Loss Prevention (DLP).
• Information security certifications such as CISSP, CISA, CRISC, GIAC, ISO 27001.

• Supporting the implementation and operational functioning of the Data Sanitisation service.
• Collaborating with IT service owners, Compliance teams, and Control Owners regarding data protection requirements.
• Coordinating reviews and compliance assessments for data usage in non-production environments.
• Analyzing data for security, privacy, and regulatory compliance.
• Monitoring and documenting results of reviews and corrective actions.
• Assisting stakeholders with data protection, anonymization, and risk mitigation requirements.
• Preparing documentation, reports, and materials for internal and external audits and regulators.
• Working with global and regional Cybersecurity teams to ensure consistent data security management.
• Identifying risks related to data processing and supporting risk mitigation efforts.