Senior Data & AI Engineer

BROOKS AUTOMATION MALAYSIA SDN. BHD.; Pasir Gudang; On-site; MYR 180,000 - 300,000; Full time

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.

Skills

Data engineering

SQL

Python

Data modeling

Cloud platforms

AI engineering

AI governance

Multi-agent AI

GenAI tools awareness

Tools

AWS Redshift

Microsoft Fabric

Azure AI Foundry

OneLake

Copilot

Bedrock

Claude

OpenAI

Job description

The Senior Data & AI Engineer at Brooks is responsible for designing, building, and maintaining enterprise data platforms and AI-enabled solutions that support analytics, automation, and decision-support capabilities.

This is a unique opportunity to join Brooks at an exciting stage of our digital transformation journey. As we continue to invest in advanced analytics, artificial intelligence, and data-driven decision making across the Asia Pacific region, we are building a new generation of data and AI capabilities that will help shape the future of our business.

You will play a key role in establishing and scaling Brooks' Data & AI ecosystem in APAC, working on cutting-edge initiatives involving enterprise data platforms, Generative AI, AI Agents, Microsoft Copilot, Azure AI Foundry, and modern cloud analytics technologies. Beyond supporting current business needs, this role offers the opportunity to help define how AI is adopted and leveraged across our manufacturing, engineering, operations, and corporate functions.

For candidates who are passionate about combining data engineering, cloud platforms, and emerging AI technologies to solve real business problems, this is an opportunity to make a visible impact while helping build a new and strategically important capability within Brooks.

Key Responsibilities:

• Data Engineering: Design, build, and maintain scalable data pipelines, ingestion processes, and curated data layers
• Python Development: Build reusable scripts, notebooks, APIs, and automation components for data and AI solutions
• Data Modeling: Develop data models, semantic layers, and structured datasets for analytics and AI use cases
• Platform Engineering: Support and optimize cloud analytics platforms including AWS Redshift, Microsoft Fabric, OneLake, and Azure AI services
• Prepare structured and governed data for retrieval, summarization, Q&A, and classification use cases
• Develop RAG patterns, vector search approaches, and AI-ready data foundations
• Leverage Microsoft Copilot, Fabric Data Agents, and Azure AI Foundry capabilities to support enterprise AI solutions
• Design and develop AI agents for data queries, business workflows, report generation, and operational alerts
• Build agent workflows, tool usage, orchestration logic, and integrations with enterprise systems
• Maintain deployed AI components using Microsoft Copilot, Azure AI Foundry, Microsoft Fabric, and OneLake-connected data assets

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