Data Security Policy Engineer

Join a global Cyber Security Technology team responsible for protecting critical systems, sensitive data, and billions of transactions across one of the world's leading international financial institutions.

• 5+ years of experience in Data Security Engineering or Cyber Security Engineering
• Hands-on experience with Data Loss Prevention solutions such as Symantec DLP, Trellix DLP, Proofpoint DLP, Zscaler DLP
• Experience deploying and managing data discovery and data scanning tools
• Strong knowledge of Data Security Policy creation, analysis, tuning, and maintenance
• Experience securing Data in Motion and/or Data at Rest
• Practical understanding of cybersecurity risks, threats, and controls, particularly within Financial Services environments
• Experience working in Agile environments and participating in project delivery activities
• Strong stakeholder management and communication skills
• Ability to translate business requirements into technical security solutions and delivery plans
• Experience using Jira and Confluence for project tracking and operational support

Nice to have:

• Industry certifications such as CISSP, CISM, CISA
• Experience within highly regulated environments such as banking or financial services
• Experience supporting large-scale enterprise security platforms

• Design, implement, and maintain Data Security and Data Loss Prevention (DLP) policies
• Configure, manage, and optimize DLP solutions and data discovery tools
• Analyze business requirements and identify gaps in data protection controls
• Develop new security policies and continuously improve existing controls in line with risk appetite and regulatory requirements
• Support onboarding of business units into new data protection policies and security controls
• Participate in cybersecurity projects and deliver policy engineering solutions within the Data Security domain
• Provide production support for Data Security tooling, including policy management and troubleshooting
• Support innovation initiatives and improvements in Data Security Engineering capabilities
• Assist with the transition of new security tools and solutions into BAU (Business as Usual) operations
• Drive improvements in service quality and user experience of data security products
• Prepare management information (MI), key metrics, and reporting for senior stakeholders
• Collaborate with auditors, risk teams, and business stakeholders to ensure compliance and effective governance
• Mentor and support less experienced team members

• Hybrid working model with office attendance required 6 days per month in Cracow
• Collaboration with international teams across multiple regions and business functions