Data Engineer, AI-Enabled

Asian Pac Holdings Bhd; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Medical Comprehensive Insurance

Job summary

ASIAN PAC Holdings Berhad is seeking a Data Engineer to design, implement, and optimize data infrastructure powering data-driven initiatives. The role emphasizes building scalable data pipelines, AI agent solutions, and RAG-grounded LLM workflows across Azure and AWS environments.

You will collaborate with data scientists, analysts, and business stakeholders to ensure reliable, scalable data assets and facilitate cross-functional decision-making in a fast-paced setting.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or similar, with data engineering concepts and best practices.
• Hands-on experience with Azure and/or AWS data pipelines (Azure Data Factory, Databricks; AWS Glue, Redshift).
• Proficiency in Python, Java, or Scala and data processing frameworks (Spark, Hadoop).
• Experience with Airflow/D Dagster/Prefect for orchestration.
• Knowledge of data modelling, warehousing, and databases.
• Familiarity with Agentic AI concepts (LLMs, RAG, LangChain).
• Excellent problem-solving and cross-functional collaboration skills.

Responsibilities

• Design, develop, and maintain robust data pipelines and data lake/data warehouse architecture.
• Develop and maintain Airflow DAGs for orchestration and monitoring of pipelines.
• Collaborate with analysts to implement data transformations and aggregations.
• Research data sources and assess value for property development datasets.
• Create web-scraping scripts to collect open data.
• Build CI/CD pipelines for data pipelines and infrastructure.
• Leverage Azure and AWS services for data solutions.
• Monitor and optimize pipelines for performance and reliability.
• Design AI agent solutions using CrewAI or LangChain ecosystems.
• Build RAG pipelines to ground LLM outputs in company data.

Skills

Python

Java

Scala

Education

Bachelor's degree in Data Science

Master's degree in CS/Engineering

Tools

Azure Data Factory

Azure Databricks

AWS Glue

Amazon Redshift

Job description

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure that powers our organization's data-driven initiatives. You will work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand requirements and ensure the availability, reliability, and efficiency of our data pipelines and systems. This role is split approximately 70% data engineering and 30% AI/agentic development, and is well suited to someone who wants to grow at the intersection of data infrastructure and applied AI.

Key responsibilities

Design, develop, and maintain robust, scalable, and efficient data pipelines to ingest, transform, and store data from various sources into our data lake/data warehouse.

Develop and maintain Airflow DAGs to orchestrate, schedule, and monitor existing and new data pipelines, improving visibility into pipeline health and failure recovery.

Collaborate with data analysts to understand their data requirements and implement data transformations and aggregations to support their analyses and reporting needs.

Perform research on various data sources and evaluate the value and applicability to property development, including residential property and retail mall.

Develop scripts that perform web-scraping to acquire data that are openly available online.

Build and manage CI/CD pipelines to automate the deployment and testing of data pipelines and infrastructure.

Utilize Azure cloud services, AWS cloud services, and other relevant technologies to architect, implement, and manage data solutions.

Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.

Design and build AI agent solutions using CrewAI or the LangChain ecosystem, including tool integration and multi-agent workflows.

Build and maintain RAG pipelines (ingestion, embedding, retrieval) to ground LLM outputs in company data.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.

Proven experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts, techniques, and best practices.

Hands-on experience with cloud solutions, particularly in designing, building, and optimizing data pipelines using Azure cloud services (Azure Function, Azure Data Factory, Azure Databricks, etc.) and/or AWS cloud services (AWS Glue, Lambda, Amazon Redshift, etc.).

Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (e.g., Spark, Hadoop) and ETL / ELT tools.

Experience with Apache Airflow (or similar workflow orchestrators such as Dagster/Prefect) for orchestrating, scheduling, and monitoring data pipelines.

Strong knowledge of data modelling, data warehousing, and database technologies.

Working knowledge of Agentic AI concepts, i.e. LLMs, RAG, agent tools/function-calling, and multi-agent orchestration, with hands-on exposure to frameworks such as LangChain, LangGraph, or CrewAI.

Excellent problem-solving skills and the ability to troubleshoot complex data-related issues.

Strong communication and collaboration skills to work effectively with cross-functional teams.

Ability to adapt to a fast-paced and evolving environment while delivering high-quality solutions.

About us

ASIAN PAC Group of companies operates in the Business Analytics and Strategy division.

Asian Pac Holdings Berhad (APHB) is a company listed on the Main Board of Bursa Malaysia. Incepted in 1913, the company and its subsidiary companies’ interests are principally focused towards operations in investment holdings, property development and investment, mall and carpark ownership and trading in building materials.

APHB’s tenets are built on long standing principles of good conduct, trust, and hard work. Despite adapting to the relevance of the modern work environment, APHB still holds fast to its core values; Respect, Honesty, Dedication and Excellence, as the basis of its future direction and growth.

APHB has striven in every account of its operations to raise the bar and distinguish itself in whatever it sets its goals on. And in doing so, it has in-tandem elevated communities and social living conditions by bringing modern conveniences and amenities to the regular citizen in various parts of the country.

The company’s overall vision is imbued in affecting a holistic and positive change to the nation and its people. As such, it remains relentless in engraving its insignia of quality and dedication as an imprint of its presence wherever its mission may take it.

With a strategically minded management team, foresight and land banks, APHB has over the last few years steadily demonstrated a transformation in becoming a dynamic and sustainable growth company.

As part of our continued growth, we seek dynamic, self‑motivated and responsible individuals to join our Group of Companies.

Unlock job insights

Hirer responsiveness Salary match Number of applicants

• Medical Comprehensive Insurance Coverage & Staff Priority