AI Data Engineer (entry level) - SPVL

ScienTec ConsultingSingaporemycareersfutureavaldatud 07.10.2026
Nõutav:PythonAWSAzureGoogle CloudCloudDataCI/CDAISecurityHybrid

We are looking for AI Data Engineer to work on government projects within Cybersecurity domain:

  • Exciting opportunity to work with a team of professionals to gain experience
  • Competitive salary package & employment benefits (up to 24 days leave + medical insurance)
  • Work location: Punggol (hybrid work arrangement)
  • Entry level candidate with AI + AWS + data engineering related internship are welcome to apply

INFRASTRUCTURE & PLATFORM MANAGEMENT:

  • Provide supporting engineering for multi-cloud infrastructure across AWS, Azure, and GCP, including cloud-native services such as compute (EC2), storage (S3), network security (firewalls, WAF, proxy), data warehouses (BigQuery), AI/ML platforms (Vertex AI, AWS SageMaker, Azure ML), and analytics tools (Looker).
  • Implement infrastructure-as-code (IaC) and cloud resource management using Terraform, CloudFormation, or equivalent tools.
  • Provide supporting engineering for on-premises infrastructure setup, including bare metal server provisioning and configuration.
  • Design and deploy specialised purpose platforms tailored to specific operational requirements.
  • Ensure reliability, scalability, and security of multi-cloud infrastructure.

AUTOMATION & DEVELOPMENT:

  • Design, develop, and maintain automated workflows and orchestration pipelines for SOC operations.
  • Implement CI/CD pipelines for automation and AI services deployment.
  • Develop custom automation solutions using Python scripts, shell scripts, and other programming languages as required.
  • Deliver and maintain automation and supporting infrastructure across internet, intranet, and local environments, as required for operational needs.
  • Provide supporting engineering on automation across operations, including AI call centre and workflow systems.
  • Provide supporting engineering for automated workflows, orchestration pipelines, and integration frameworks for operational requirements.

SECURITY OPERATIONS:

  • Provide supporting engineering on incident response playbook work in SOAR and related tooling under direction and priorities from SOC operations.

DATA & INTEGRATION:

  • Build integration frameworks connecting SIEM, SOAR, and threat intelligence platforms across cloud environments.
  • Develop and implement data integration solutions to supplement current platforms with external data sources.
  • Collaborate with AI Software Engineers to integrate AI capabilities into automated workflows.

How to Succeed

  • Experience in data engineering, AI technologies, AWS and automation experience
  • Experience in Python and SQL on cloud analytics warehouses
  • Background/knowledge in Cybersecurity will be an added advantage
  • Entry level position, training will be provided

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