Senior Data & AI Engineer

Brooks Automation Malaysia SDN. BHD.; Johor; On-site; MYR 180,000 - 300,000; Full time

Job summary

Brooks Automation Malaysia SDN. BHD. seeks a Senior Data & AI Engineer to design, build, and maintain enterprise data platforms and AI-enabled solutions across the APAC region.

You will help establish and scale Brooks' Data & AI ecosystem with GenAI, AI agents, Copilot, Fabric, and modern cloud analytics. Work location is onsite at Pasir Gudang, Johor Bahru. This role offers exposure to cutting-edge technologies and a opportunity to shape Brooks' data strategy across manufacturing, engineering,

Qualifications

• 5–8 years in data engineering, analytics engineering, cloud data platforms, or AI engineering roles.
• Strong SQL and Python skills with production data pipelines and data models.
• Experience with data integration, data quality, performance optimization, and platform reliability.
• GenAI / LLM exposure with tools like Claude, OpenAI ChatGPT or similar.
• Experience building or supporting production-grade AI agents using relevant platforms.

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.
• GenAI / LLM Use Cases: prepare structured data for retrieval, summarization, Q&A, and classification; develop RAG patterns and AI-ready data foundations; leverage Copilot, Fabric Data Agents, and Azure AI Foundry.

Skills

SQL

Python

Data Pipelines

GenAI

AI Agents

Cloud Platforms

Tools

AWS Redshift

Microsoft Fabric

OneLake

Azure AI Foundry

Copilot

Job description

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (www.brooks.com). Are you looking for a place where you can be part of a transformation? Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology.

Senior Data & AI Engineer Job Description

About the Role:

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.

Work location: Onsite – Pasir Gudang, Johor Bahru.

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
• GenAI / LLM Use Cases:
  • 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
• AI Agents:
  • 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
• Data Engineering:
  • 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
• GenAI / LLM Exposure:
  • Experience using tools like Claude, OpenAI ChatGPT or similar
  • Proficient with modern GenAI tools like Cursor, Claude Code, Codex, etc.
• AI Agents:
  • 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
• Data Platforms:
  • 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
• #LI-MV1 #LI-Onsite

Work Location & Flexibility

At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.

Diversity & Inclusion

Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics. Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success.

For applicants with disabilities requiring accommodations, don't hesitate to get in touch with [e-mail] or call [phone] to discuss your needs. Review EEO Law & EEO Statement.

Since our founding in 1978, Brooks Automation has been a leading automation provider and trusted partner to the global manufacturing industry. Our customers choose the Brooks Automation platform because we consistently deliver best-in-class reliability and cost of ownership, with a solution that is optimized for value within their application. We deliver value through our understanding of the application challenge, providing solutions at scale that create an automated advantage for our customers. We are committed to innovation by continuously developing new product offerings and partnering with our customers to integrate solutions for their manufacturing process tools. This benefits our customers with improved throughput and yield and a lower cost of ownership.