Cloud Data & AI Platform Engineer

Argyll Scott; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Argyll Scott Asia is seeking a hands-on Cloud Data & AI Platform Engineer to support enterprise cloud data platforms. Responsibilities include building data pipelines, onboarding business use cases, and implementing automation, governance, and cost optimisation.

The role involves working with Azure Data Services, Databricks, and Synapse, implementing IaC and CI/CD, and collaborating with architects and MSPs to deliver scalable, self-service platform capabilities.

Qualifikationen

• 5–8 years in Cloud/Platform/Data/DevOps.
• Hands-on experience building data pipelines on cloud platforms.
• Azure preferred; Databricks, Synapse, or AWS also considered.
• Experience with cloud automation, IaC, governance, or FinOps is advantageous.
• MLOps/LLMOps a plus but not required.
• Strong execution and collaboration skills.

Aufgaben

• Build and implement cloud-based data pipelines across Azure Data Services, Databricks, and Synapse.
• Assist business divisions with platform onboarding, project setup, and deployment pipelines.
• Implement IaC, CI/CD pipelines, automation, and reusable deployment templates.
• Support governance, security controls, compliance automation, and FinOps to optimise costs.
• Collaborate with platform architects, vendors, and MSPs to deliver platform designs and handover.
• Develop reusable engineering patterns and automation to improve reliability and self-service.

Kenntnisse

Cloud data engineering

Data pipelines

CI/CD

IaC

Governance

FinOps

Troubleshooting

Collaboration

MLOps

Tools

Azure Data Services

Databricks

Synapse

CI/CD tooling

Jobbeschreibung

• Cloud Data & AI Platform Engineer
• Contract: 12 Months | Potential Extension

Role Overview

We are looking for a hands‑on Cloud Data & AI Platform Engineer to support the development and implementation 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.

Key Responsibilities

• Build and implement cloud-based data pipelines and platform capabilities across Azure Data Services, Databricks, and Synapse.
• Support business divisions with platform onboarding, project setup, connectivity, and deployment pipelines.
• Implement Infrastructure as Code (IaC), CI/CD pipelines, automation, and reusable deployment templates.
• Support cloud governance, security controls, compliance automation, and FinOps initiatives to optimise cloud costs and resource utilisation.
• Work closely with platform architects, vendors, and managed service providers to implement platform designs and ensure smooth operational handover.
• Develop reusable engineering patterns and automation to improve platform reliability, scalability, and self-service capabilities.

Requirements

• 5–8 years of experience in Cloud Engineering, Data Engineering, Platform Engineering, or DevOps.
• Strong hands‑on experience in cloud data engineering and implementing data pipelines on cloud platforms.
• Azure experience preferred; candidates with Databricks, Synapse, or AWS experience will also be considered.
• Experience with cloud automation, CI/CD, Infrastructure as Code, governance, or FinOps is advantageous.
• MLOps/LLMOps experience is a plus but not mandatory.
• Strong technical execution, troubleshooting, and collaboration skills.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.