Data Engineer

Thakral One Pte. Ltd.; Malaysia; On-site; MYR 120,000 - 180,000; Full time

Job summary

Thakral One Pte. Ltd. in Malaysia is seeking a Data Engineer to design, build, and maintain modular data pipelines that support efficient refresh cycles, integrate AI/ML models, and ensure reliable, scalable data environments across business and operational needs.

You will work with cross‑functional teams to implement ETL/ELT workflows, ingest data from telecom and operational systems, integrate APIs, and uphold data quality, governance, and security while driving performance and reliability.

Qualifications

• 3-7 years of hands-on experience in data engineering or related roles.

Responsibilities

• Design, develop, and maintain pipelines using Airflow.

Skills

Python

SQL

Airflow

Spark

Modular pipelines

Tools

Airflow

Spark

Azure Data Factory

Synapse

Blob Storage

AWS S3

Azure SQL

Job description

As a Data Engineer, you will design, build, and maintain modular data pipelines that support efficient refresh cycles, integrate AI/ML models, and ensure reliable, scalable, and secure data environments. You will collaborate with cross-functional teams to deliver high-quality data solutions that meet business and operational needs.

What You'll Do and How You'll Succeed

• Design, develop, and maintain pipelines using Airflow.
• Build modular and incremental data flows to optimise refresh cycles and minimise redundant runs.
• Develop ETL/ELT workflows to ingest and transform data from telecom and operational systems.
• Integrate APIs and external data sources into pipelines.

AI/ML Integration & Governance

• Collaborate with cross-functional teams to integrate AI/ML models into production environments.
• Ensure data quality, version control, and governance through documentation and reusable components.
• Contribute to domain logic validation with business and analytics teams.
• Participate in troubleshooting and optimisation of data processes.
• Ensure reliability, scalability, and performance of data workflows.
• Implement best practices for access management and governance.

We'd Love to Hear From You If...

Experience

• You have 3-7 years of hands-on experience in data engineering or related roles.
• You have experience designing incremental and modular pipelines.
• You have experience integrating APIs and external data sources.

Technical Expertise

• You have strong proficiency in Python, SQL, and modern frameworks (Airflow, Spark).
• You have working knowledge of Azure data ecosystem (Data Factory, AzureML, Synapse, Blob Storage, Azure SQL).
• You have familiarity with AWS services (S3, ECS, RDS, EC2).
• You have strong understanding of data governance, versioning, and access management.

Ways of Working

• You solve problems with structured thinking and clear communication.
• You collaborate effectively with business, analytics, and engineering teams.
• You balance technical depth with delivery timelines and operational reliability.