Azure Data & AI Platform Engineer — Build Scalable Pipelines

ARGYLL SCOTT CONSULTING PTE. LTD.; Singapore; Presencial; SGD 150 000 - 210 000; Tempo integral

Resumo da oferta

ARGYLL SCOTT CONSULTING PTE. LTD. is seeking a hands-on Cloud Data & AI Platform Engineer to support the development of enterprise cloud data platforms.

The role focuses on building data pipelines, onboarding business use cases, and implementing cloud platform automation, governance, and cost optimisation capabilities. You will build pipelines across Azure Data Services, Databricks, and Synapse, implement IaC and CI/CD, and collaborate with architects, vendors and MSPs to ensure reliable,

Qualificações

• 5–8 years in Cloud/Data/Platform Engineering or DevOps.
• Hands-on cloud data engineering and data pipelines on cloud platforms.
• Azure experience preferred; Databricks, Synapse or AWS accepted.
• Experience with IaC, CI/CD, governance or FinOps is advantageous.
• MLOps/LLMOps experience is a plus but not required.

Responsabilidades

• Build and deploy cloud-based data pipelines using Azure Data Services, Databricks, and Synapse.
• Onboard business units, set up projects, connectivity, and deployment pipelines.
• Implement IaC, CI/CD, automation, and reusable deployment templates.
• Support governance, security controls, compliance automation, and FinOps.
• Collaborate with platform architects, vendors, and MSPs for design and handover.
• Develop reusable engineering patterns to improve reliability, scalability, and self-service.

Conhecimentos

Cloud platform engineering

Data pipelines

CI/CD

Infrastructure as Code

Governance & FinOps

MLOps / LLM Ops

Azure

Databricks

Synapse

AWS

Ferramentas

Terraform

GitHub Actions

Azure DevOps

Descrição da oferta de emprego

ARGYLL SCOTT CONSULTING PTE. LTD. is seeking a hands-on Cloud Data & AI Platform Engineer to support the development of enterprise cloud data platforms.

The role focuses on building data pipelines, onboarding business use cases, and implementing cloud platform automation, governance, and cost optimisation capabilities. You will build pipelines across Azure Data Services, Databricks, and Synapse, implement IaC and CI/CD, and collaborate with architects, vendors and MSPs to ensure reliable,