Data Engineer

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

Job summary

Thakral One Pte. Ltd. is seeking a Data Engineer to design, build, and maintain modular data pipelines that support efficient refresh cycles and can integrate AI/ML models. You will collaborate with cross-functional teams to deliver reliable, scalable data solutions for business and operational needs.

The role emphasizes Python, SQL, Airflow, and experience with Azure and AWS data ecosystems, ensuring data quality, governance, and performance across production environments.

Qualifications

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

Responsibilities

• 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.
• 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.

Skills

Python

SQL

Airflow

Spark

APIs integration

Data governance

Azure cloud

AWS cloud

Tools

Airflow

Spark

Azure Data Factory

AzureML

Synapse

Blob Storage

Azure SQL

AWS S3

AWS ECS

AWS RDS

AWS EC2

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.