Azure Data & AI Platform Engineer — Cloud Pipelines & FinOps
Argyll Scott
Eine vollständige Bewerbung in einer Minute
Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.
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
Tools
Jobbeschreibung
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.
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