Data Engineer

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. You'll 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
.

• Strong Python skills and experience with
  pandas
  ,
  PySpark
  , or
  Dask
  for large-scale data manipulation.

• Proven experience with
  data orchestration and transformation frameworks
  (Airflow, dbt, or Dagster).

• Solid understanding of
  data modeling
  ,
  data warehousing
  , and
  SQL optimization and ETL pipelines (Kafka)
  .

• Familiarity with
  CVE data structures
  , vulnerability databases (e.g. NVD, CPE, CWE), or security telemetry.

• Experience integrating heterogeneous data sources (APIs, CSV, JSON, XML, or event streams).

• Knowledge of
  GCP data tools
  (BigQuery, Pub/Sub, Dataflow, Cloud Functions) or equivalent in Azure/AWS.

• Experience with
  containerized environments
  (Docker, Kubernetes) and infrastructure automation (Terraform or Pulumi).

• Understanding of
  data testing
  ,
  validation
  , and
  observability practices
  in production pipelines.

• A structured and security-aware approach to building data products that support
  AI-driven risk analysis
  .

Nice to Have

• Experience working with
  graph databases
  (Neo4j, ArangoDB) or
  ontology-based data modeling
  .

• Familiarity with
  ML pipelines
  (Vertex AI Pipelines, MLflow, or Kubeflow).

• Understanding of
  software composition analysis
  (SCA) or vulnerability scanning outputs (e.g. Trivy, Syft).

• Background in
  threat intelligence
  ,
  risk scoring
  , or
  cyber risk quantification
  .

• Experience in
  multi-cloud or hybrid setups
  (GCP, Azure, on-prem).

Benefits

• Freedom to design and shape a modern, secure data platform from the ground up.

• A collaborative startup environment where your work directly supports AI and cybersecurity products.

• Flexible working hours and remote-friendly setup.

• Exposure to cutting-edge technologies in
  AI
  ,
  data engineering
  , and
  cyber risk analytics
  .

• Competitive salary and benefits tailored to your experience.

We are looking forward to meet you