Data Engineer (mfd)

At Cyber Insight we are building the next generation of AI-driven platforms for IT security and risk management. Our mission is to empower companies to gain deep insights into their IT landscapes and proactively mitigate risks in an increasingly complex digital world.

As a fast-growing startup we combine expertise in cybersecurity data engineering and artificial intelligence to deliver solutions that automate risk assessments predict potential threats and help organizations stay ahead of evolving cyber risks. Our team thrives on innovation collaboration and a shared passion for making a real impact in the cybersecurity space.

We are looking for a hands-on Data Engineer who is passionate about building reliable scalable and secure data systems. Youll help shape our data architecture and pipelines that feed our AI models and risk assessment engines including the crucial task of mapping vulnerabilities (CVEs) to specific software and system components.

Tasks

• Design build and maintain data pipelines and ETL / ELT workflows across GCP and on-prem environments.
• Ingest and process cybersecurity-relevant data sources such as CVE feeds software inventories vulnerability databases and event logs.
• Develop and maintain transformation logic and data models linking vulnerabilities (CVEs) to affected software and assets.
• Implement and automate data validation consistency checks and quality assurance using tools like Great Expectations or Deequ .
• Collaborate with AI and graph modeling teams to structure and prepare data for threat intelligence and risk quantification models .
• Manage and optimize data storage using BigQuery PostgreSQL and Cloud Storage ensuring scalability and performance.
• Automate data workflows and testing through CI / CD pipelines (GitHub Actions GCP Cloud Build Jenkins).
• Implement monitoring and observability for pipelines using Prometheus Grafana and OpenTelemetry .
• Apply a security-focused mindset in data handling ensuring safe ingestion processing and access control of sensitive datasets.

Requirements

3 years of experience in data engineering backend data systems or cybersecurity data processing .

Nice to Have

Benefits

We are looking forward to meet you!

Key Skills

Laboratory Experience,Vendor Management,Design Controls,C / C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development

Employment Type : Employee

Experience : years

Vacancy : 1