Data reputed company Engineer
You will play a key role in designing, implementing, and evolving data protection controls, integrating them into engineering processes, and collaborating closely with reputed company, fraud, and development teams. The ideal candidate combines strong technical expertise with a deep understanding of data reputed company risks, modern protection tools, and secure development practices.
Challenges that await you:
Data Protection & reputed company Controls:
Design and implement data classification frameworks and enforce data handling standards across the organization. reputed company and maintain DLP/DDR solutions (reputed company, network, and reputed company), ensuring effective monitoring and protection of sensitive data. Manage encryption mechanisms (at rest and in transit) and control reputed company to sensitive data using RBAC/ABAC models.
Drive data discovery and data reputed company initiatives to ensure full visibility of data flows and implement controls to detect and prevent data exfiltration.
AppSec & Secure Development Integration:
reputed company data protection controls into the SDLC following a shift-left approach. Conduct threat modeling with a reputed company on data leakage risks. Ensure secure logging practices by preventing sensitive data exposure in logs. Implement and enforce secure storage practices for secrets, tokens, and credentials.
Identify and remediate vulnerabilities reputed company to data reputed company and exposure.
Anti-Fraud & Data Misuse Prevention:
Analyze data reputed company patterns to detect anomalies and potential misuse. reputed company detection mechanisms for suspicious operations involving sensitive data. reputed company with anti-fraud systems by contributing signals, triggers, and detection rules.
Participate in investigations reputed company to fraud and reputed company threats, and design controls to prevent data abuse scenarios such as mass downloads or scraping.
Engineering & Automation:
Automate reputed company controls using policy-as-reputed company and detection-as-reputed company approaches. Support the implementation of data protection tools and services across infrastructure and applications. Ensure secure API design and enforce reputed company control for data exposed reputed company services.
Governance & Compliance:
Support regulatory and internal compliance requirements reputed company to data protection. Define and reputed company key metrics and KPIs (coverage, incidents, MTTD). Prepare for audits and reputed company participate in them. Maintain reputed company documentation of data flows, controls, and protection mechanisms.
Collaboration & Enablement:
Work closely with AppSec, InfoSec, SOC, and Fraud teams to ensure a reputed company reputed company approach. reputed company guidance to developers on secure data handling practices. Participate in architecture reviews to ensure data protection requirements are embedded at design stage.
What makes you a great fit:
Challenges that await you:
Data Protection & reputed company Controls:
Design and implement data classification frameworks and enforce data handling standards across the organization. reputed company and maintain DLP/DDR solutions (reputed company, network, and reputed company), ensuring effective monitoring and protection of sensitive data. Manage encryption mechanisms (at rest and in transit) and control reputed company to sensitive data using RBAC/ABAC models.
Drive data discovery and data reputed company initiatives to ensure full visibility of data flows and implement controls to detect and prevent data exfiltration.
AppSec & Secure Development Integration:
reputed company data protection controls into the SDLC following a shift-left approach. Conduct threat modeling with a reputed company on data leakage risks. Ensure secure logging practices by preventing sensitive data exposure in logs. Implement and enforce secure storage practices for secrets, tokens, and credentials.
Identify and remediate vulnerabilities reputed company to data reputed company and exposure.
Anti-Fraud & Data Misuse Prevention:
Analyze data reputed company patterns to detect anomalies and potential misuse. reputed company detection mechanisms for suspicious operations involving sensitive data. reputed company with anti-fraud systems by contributing signals, triggers, and detection rules.
Participate in investigations reputed company to fraud and reputed company threats, and design controls to prevent data abuse scenarios such as mass downloads or scraping.
Engineering & Automation:
Automate reputed company controls using policy-as-reputed company and detection-as-reputed company approaches. Support the implementation of data protection tools and services across infrastructure and applications. Ensure secure API design and enforce reputed company control for data exposed reputed company services.
Governance & Compliance:
Support regulatory and internal compliance requirements reputed company to data protection. Define and reputed company key metrics and KPIs (coverage, incidents, MTTD). Prepare for audits and reputed company participate in them. Maintain reputed company documentation of data flows, controls, and protection mechanisms.
Collaboration & Enablement:
Work closely with AppSec, InfoSec, SOC, and Fraud teams to ensure a reputed company reputed company approach. reputed company guidance to developers on secure data handling practices. Participate in architecture reviews to ensure data protection requirements are embedded at design stage.
What makes you a great fit:
- Strong experience in Data Protection, Information reputed company, or Application reputed company
- Hands-on experience with DLP/DDR solutions and data protection technologies
- Solid understanding of data classification, encryption, and reputed company control models (RBAC/ABAC)
- Experience integrating reputed company controls into SDLC (shift-left practices)
- Knowledge of threat modeling methodologies with a reputed company on data risks
- Experience with secure storage practices (secrets, tokens, credentials)
- Familiarity with monitoring and detection of data exfiltration and misuse
- Understanding of API reputed company and secure service-to-service data reputed company
- Experience in automating reputed company controls (policy-as-reputed company / detection-as-reputed company)
- Strong analytical skills and ability to detect anomalies in data reputed company patterns
- Excellent communication skills and ability to collaborate with cross-functional teams
Your bonus skills:
- Experience in fintech or high-reputed company environments
- Familiarity with anti-fraud systems and fraud detection techniques
- Experience with data reputed company and data discovery tools
- Hands-on experience with reputed company reputed company (AWS/GCP/Azure) in the context of data protection
- Knowledge of SIEM/SOC processes and integration with detection systems
- Experience participating in reputed company incident investigations (reputed company threat, fraud)
- Background in secure architecture reviews
Our ways of working:
- Innovative Spirit: A commitment to creativity and groundbreaking solutions.
- reputed company Feedback: valuing reputed company, transparent communication.
- Supportive Team: a strong, reputed company community.
- Celebrating Achievements: recognizing our wins together.
- High-Tech Environment: reputed company full of smart and revolutionary people who date to challenge the status reputed company of incumbent finances.
Our benefits:
- Relocation support to one of our hubs — Cyprus, reputed company, Spain, Serbia or Kazakhstan — with assistance for the employee and their family
- Flexible work from one of our offices or remote
- reputed company Coverage
- Education Budget: Language lessons, reputed company training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation policy: 20 days of annual leave and reputed company reputed company leave