Data Engineer (Cybersecurity)
Posted
Summary
Data engineer in CSIT's Cybersecurity (Data Systems) group designing, building, and scaling large-scale data systems for threat detection, investigation, and analysis. Day to day: develop high-availability microservices and REST APIs with CI/CD and monitoring dashboards, using C/C++, Java, or Python plus cloud-native tooling like Kubernetes and Docker.
We are seeking a skilled Data Engineer to join our Cybersecurity (Data Systems) product group. As a key member of our team, you'll design, develop, and deploy large-scale data systems that support our cybersecurity products and services. You'll work closely with our team to identify and prioritize project requirements, develop and implement solutions, and ensure our products meet the needs of our operations users and stakeholders.
Key Responsibilities
Design, build, and optimize large-scale data systems for threat detection, investigation, and analysis Scale data systems to stay ahead of emerging threats and growing data volumes Develop scalable and high-availability system architecture with CI/CD Build high-performance microservices and RESTful APIs Enhance dashboards for system health monitoring and telemetry collection Stay up-to-date with industry trends and emerging technologies to improve our data systems
Requirements (Minimum Qualifications)
A degree or professional qualification in Computer/Electrical Engineering, Computer Science, Data Engineering, or equivalent 1-3 years of experience in Data Engineering Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Proficiency in programming languages such as C, C++, Java, or Python
Nice to Have
Advantageous experience/knowledge in: SIEM tools (e.g., Splunk, ELK stack) Network IDS tools (e.g., Snort, Suricata) High-performance, scalable, low-latency networking Cloud-native technologies (e.g., Kubernetes, Docker) Microservice and RESTful APIs design and development DevOps CI/CD tools (e.g., Gitlab CI/CD, Kubernetes, Helm)
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
Key Responsibilities
Design, build, and optimize large-scale data systems for threat detection, investigation, and analysis Scale data systems to stay ahead of emerging threats and growing data volumes Develop scalable and high-availability system architecture with CI/CD Build high-performance microservices and RESTful APIs Enhance dashboards for system health monitoring and telemetry collection Stay up-to-date with industry trends and emerging technologies to improve our data systems
Requirements (Minimum Qualifications)
A degree or professional qualification in Computer/Electrical Engineering, Computer Science, Data Engineering, or equivalent 1-3 years of experience in Data Engineering Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Proficiency in programming languages such as C, C++, Java, or Python
Nice to Have
Advantageous experience/knowledge in: SIEM tools (e.g., Splunk, ELK stack) Network IDS tools (e.g., Snort, Suricata) High-performance, scalable, low-latency networking Cloud-native technologies (e.g., Kubernetes, Docker) Microservice and RESTful APIs design and development DevOps CI/CD tools (e.g., Gitlab CI/CD, Kubernetes, Helm)
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.