Data Security Policy Engineer (Cybersecurity)

Antal is a leading recruitment and HR advisory company present in Poland since 1996, operating also in the Czech Republic and Hungary. The company employs around 150 professionals across the CEE region delivering services including specialist and executive recruitment, employee outsourcing, HR consulting, employer branding, and market research. Antal combines deep industry expertise with functional specialization to provide tailored HR solutions for companies in various sectors.

• Minimum 5 years of experience in Data Security Engineering, preferably focusing on DLP technologies.
• Hands-on experience with at least one DLP solution, such as Symantec DLP, Trellix, Zscaler, or Proofpoint.
• Practical skills in creating, configuring, analyzing, and maintaining DLP policies.
• Experience with data discovery and scanning tools.
• Good understanding of Data in Motion and/or Data at Rest security.
• Knowledge of cybersecurity threats, data protection principles, and security best practices.
• Experience working in Agile environments using Jira and Confluence.
• Ability to translate business requirements into technical solutions and implementation plans.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good communication skills and experience cooperating with technical and business stakeholders.
• Ability to work effectively in a collaborative, international environment.

Nice to have:

• Experience with Microsoft Information Protection (MIP).
• Cybersecurity certifications such as CISSP, CISM, or CISA.
• Experience working in regulated environments, particularly financial services.
• Experience supporting security audits and compliance requirements.
• IT or cybersecurity-related degree.

• Design, configure, implement, and optimize Data Loss Prevention (DLP) policies and security controls.
• Manage and maintain DLP solutions such as Symantec DLP, Trellix, Zscaler, or Proofpoint.
• Develop and update data security policies to address evolving business needs and security risks.
• Configure and manage data discovery and scanning tools to protect sensitive information.
• Support data protection solutions covering Data in Motion and Data at Rest.
• Provide production support, troubleshoot issues, and ensure effective operation of DLP policies and tools.
• Collaborate with stakeholders to gather requirements, identify security gaps, and translate business needs into technical solutions.
• Participate in cybersecurity projects including implementation and improvement of data protection technologies.
• Support security audits, compliance activities, and risk management processes.
• Use Jira and Confluence for project tracking, documentation, and operational support.