What are the responsibilities and job description for the Senior Security Engineer position at emagine?
Project information:
Key Responsibilities
- Industry: technology
- Location: 100% remote or hybrid in Warsaw
- B2B up to 185 zł/h
- Start: 05.2025
- Duration: till 12.2025 (with posibility of extention for 2026)
Key Responsibilities
- Design, implement, and manage security solutions to protect organizational assets.
- Develop and enforce security policies and procedures to ensure compliance with industry standards and regulations.
- Collaborate with IT and development teams to integrate security best practices into the software development lifecycle.
- Maintains and improves the technology stack related to security.
- Creates and updates security scenarios.
- Supports the implementation and maintenance of security technologies.
- Proposes improvement concepts and changes in security systems.
- Establishes and maintains security monitoring systems to detect and respond to security events, threats, and vulnerabilities.
- Provides support to the security operations team in responding to security incidents and events.
- Performs other tasks entrusted by superiors, within the scope of the position and possessed competences.
- Creates other works within the meaning of the Law of Copyright and Related Rights resulting from the performance of the entrusted tasks, as long as they are consistent with the type of work and applicable law.
- Proven experience (min. 4 years) with Security Information and Event Management (SIEM) Sentinel and Azure Data Explorer (ADX).
- Deep understanding of M365 security toolsets.
- Extensive knowledge of Terraform and Linux.
- Significant expertise in Kusto Query Language, data collection rules (DCR) ADX mapping.
- Programming and scripting skills.
- Conduct technical troubleshooting efforts for complex network environments to address issues related to SIEM data collection.
- Provide support to SOC Analysts utilizing the SIEM to respond to security incidents and events.
- Experience in Use Case development.
- Databricks & Spark – Deep expertise in Databricks (primary tool) and Apache Spark for scalable data processing.
- Data Architecture – Proven ability to design enterprise-scale data platforms, ensuring scalability, security, and efficiency.
- Streaming & Real-Time – Experience with real-time data processing, using Azure Stream Analytics, Event Hubs, or similar tools.
- Automation & DevOps – Strong knowledge of CI/CD, Terraform, Kubernetes/AKS, Docker for infrastructure automation.
- Data Governance – Experience ensuring data security, lineage, and compliance with industry standards.
- Leadership & Mentoring – Ability to guide, mentor, and set technical direction for data engineering teams.
- Documentation & Communication – Strong ability to create clear, structured technical documentation and communicate complex topics effectively.
- Language Skills – Proficient in English and Polish (spoken and written), minimum B2 level.