Lead the end-to-end management of MS SQL Server, PostgreSQL and DuckDB (DuckLake) database systems, ensuring their stability, scalability and reliability.
Apply best practices to design and implement high quality, low latency and scalable data solutions and scripts to extract data from source system (SAP ECC6).
Implement data ingestion strategies (batch and stream) by factoring in source-side constraints and data availability.
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Strategic Alignment & Architecture: Assist the Head, GCA IT & Data Analytics in defining and executing the department’s data engineering vision, roadmap, and target architecture, ensuring alignment with organisational objectives, enterprise policies, and technology standards.
Data Pipeline & Development: Design, develop, and maintain robust Extract, Transfer & Load (ETL) pipelines to ingest, process, and transform data from diverse sources, including Enterprise Resource Planning (SAP ECC6 and S/4HANA) and operational systems, IoT devices, geospatial platforms, and external data providers.
Scalable Analytics Infrastructure: Ensure that data pipelines supporting the GIGA analytics infrastructure are scalable, secure, cost-efficient, and highly reliable to meet growing business and operational demands.
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Design, develop, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from databases, APIs, cloud platforms, and third-party systems.
Design, develop, integrate, test, and maintain RESTful APIs to enable secure and reliable data exchange between enterprise applications and external services.
Develop and optimise data integration processes to ensure accurate, consistent, and timely data availability.
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Troubleshoot and resolve data-related issues promptly to minimize downtime and ensure business continuity.
Design, build, and maintain efficient and scalable CI/CD pipelines of the GCP system, automate repetitive tasks and processes to improve operational efficiency and reduce manual intervention.
Develop and maintain Data Ops Workflows, Processes, and Ops Automation Systems. Collaborate with DFI IT and Cloud Infra teams to implement infrastructure as code using tools like Terraform or self-developed system.
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Engage with business users and stakeholders to thoroughly understand their reporting needs, data-related challenges, and support analysis (engineering).
Must be able to establish communications and support end users.
Analyse existing processes, data sources, and reporting solutions to identify areas forenhancement and provide well-considered recommendations for improvement.
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Lead and conduct in-depth technical due diligence on potential M&A targets, strategic partners, or new venture opportunities, assessing their R&D capabilities, technology stack, intellectual property (IP) portfolio, and product/process maturity.
Evaluate the technical feasibility, scalability, and integration challenges of external technologies or solutions. Identify technical risks and potential synergies between the company's existing R&D efforts and external opportunities.
Proactively monitor emerging technologies, scientific breakthroughs, and industry trends relevant to the company's strategic interests and R&D roadmap. Identify potential technology partners, startups, or research institutions for collaboration, investment, or acquisition.
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Managing/coordinating service provider performance including tracking work order completion and validating invoices as needed. Provide facility specific assistance to the project management team as needed or requested.
Ensure all site management and operations practices comply with company and client standards.
Communicate/Escalate with appropriate parties (facility manager, client, OEM vendors, etc.) as needed.
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Drive BMS growth in the data center sector by engaging early with key consultants, EPCs, and owners, positioning JCI cooling solutions in design/specifications, and influencing hyperscaler regional teams to secure procurement and pre‑qualification.
Achieve assigned annual sales and gross margin targets
Prepare technical proposals, system designs, tenders and quotations
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Drive BMS growth in the data center sector by engaging early with key consultants, EPCs, and owners, positioning JCI cooling solutions in design/specifications, and influencing hyperscaler regional teams to secure procurement and pre‑qualification.
Achieve assigned annual sales and gross margin targets
Prepare technical proposals, system designs, tenders and quotations
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Generate insurance quotations based on customer needs and policy requirements.
Prepare cover notes for approved insurance policies.
Request necessary documents from customers, such as grants, vehicle photos, transfer of ownership slips, and MYJPJ applications, to facilitate cover note issuance.
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Perform daily operations and maintenance in data center for facilities and utilities, including monitor and record readings of equipment in Data Center such as UPS, temperature, CRAC unit, humidity.
Perform daily monitoring to customer equipment, uplinks and sites using monitoring tools
.Monitor regular maintenance carry out by vendor and assist support for engineers.
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Assist in building AI-powered automation workflows for digital marketing, lead management, reporting, CRM, WhatsApp, websites, and internal operations.
Support the integration of LLM models such as OpenAI, Anthropic Claude, Gemini, or similar AI platforms into business workflows.
Assist in developing and connecting APIs, REST APIs, webhooks, JSON data flows, and backend logic.
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Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
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