Senior Data & AI Engineer: Enterprise Analytics & GenAI

BROOKS AUTOMATION MALAYSIA SDN. BHD.

Pasir Gudang

On-site

MYR 180,000 - 300,000

Full time

8 days ago

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Job summary

Brooks Automation Malaysia Sdn. Bhd. is seeking a Senior Data & AI Engineer to design, build, and maintain enterprise data platforms and AI-enabled solutions that support analytics, automation, and decision-making across APAC.

You will drive the data and AI ecosystem, working with cloud analytics, Generative AI, and AI agents, to scale capabilities across manufacturing, engineering, and operations. This role offers a visible impact as Brooks accelerates its digital transformation and adoption of

Qualifications

5-8 years in data engineering, analytics engineering, cloud data platforms, or AI engineering roles.
Strong SQL and Python skills with experience building production data pipelines and data models.
Experience with data integration, data quality, performance optimization, and platform reliability.
Experience using tools like Claude, OpenAI ChatGPT or similar.
Proficient with modern GenAI tools like Cursor, Claude Code, Codex, etc.
Experience building or supporting production-grade AI agents using Amazon Bedrock, Microsoft Copilot, Azure AI Foundry, Microsoft Fabric Data Agents, or similar platforms.
Strong awareness of emerging agentic AI trends, multi-agent architectures, and AI governance practices.
Rich experience with enterprise data platforms and cloud analytics ecosystems, including AWS Redshift, Microsoft Fabric, OneLake, Azure AI Foundry, and modern semantic data models.
Experience developing AI-ready data foundations, semantic layers, and retrieval architectures that support Copilot, Fabric Data Agents, and agentic AI solutions.

Responsibilities

Design, build, and maintain scalable data pipelines and data layers.
Develop Python scripts, notebooks, APIs, and automation components.
Create data models and semantic layers for analytics and AI use cases.
Support cloud analytics platforms (AWS Redshift, Fabric, OneLake, Azure Foundry).
Prepare structured data for retrieval, summarization, QA, and classification.
Develop RAG patterns and AI-ready data foundations.
Leverage Copilot, Fabric Data Agents, and Foundry for enterprise AI.
Design AI agents for data queries, workflows, and alerts.
Build agent workflows and integrations with enterprise systems.
Maintain deployed AI components across platforms.