Global Cloud Data Engineer

DKSH; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

DKSH is seeking a Data Engineer, Specialist in Kuala Lumpur to design and implement scalable cloud data platforms that support global business decisions. You will drive end-to-end data pipelines, ensure data quality, and promote best practices across the data lifecycle.

Ideal candidates will have hands-on experience with Azure Data Services and Microsoft Fabric, strong Python/PySpark/SQL skills, and a collaborative mindset to work with IT, SMEs, and stakeholders.

Qualifications

• Bachelor's degree in Computing, Information Technology, or equivalent.
• Fresh graduate or 1-3 year of relevant working experience.
• Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipeline, OneLake, Notebook, and deployment pipelines.
• Practical experience with Azure Data Services, including Azure Synapse Spark, Synapse Database, Azure Data Factory, Databricks, and Azure Data Lake Storage.
• Solid grounding in ETL/ELT frameworks, data warehousing concepts, data management frameworks, and data lifecycle processes.
• Proven ability to handle structured, semi-structured, and unstructured data effectively.
• Proficiency in Python, PySpark, and SQL for data engineering development.
• Experience using Azure DevOps to implement CI/CD workflows and manage ETL deployments.

Responsibilities

• Design, develop, and implement end-to-end data pipelines and data integration processes — both batch and real-time — covering data analysis, profiling, cleansing, lineage, mapping, transformation, and the full deployment of ETL/ELT solutions.
• Drive continuous improvements in data quality, reliability, and efficiency by monitoring pipeline performance and optimizing ETL/ELT processes.
• Establish and deliver best practices across the data management lifecycle, including modular ETL/ELT development, coding and configuration standards, error handling, auditing, and data archival.
• Identify and implement AI, automation, and data-driven innovations that streamline operations and improve productivity.
• Ensure all development aligns with data governance policies and BI platform guidelines, maintaining compliance across environments.
• Collaborate with IT, SMEs, vendors, and business stakeholders to translate data needs into effective solutions.
• Resolve BAU data issues and change requests efficiently, maintaining documentation of investigations and resolutions.
• Support production monitoring, operational incidents, and service requests, including standby support on a rotation basis.

Skills

Python

PySpark

SQL

Azure Data Services

Azure Synapse

Databricks

Azure Data Factory

CI/CD

Data modeling

Communication

Education

Bachelor's degree in Computing/IT or equivalent

Tools

Microsoft Fabric

Azure DevOps

Azure Data Factory

Databricks

Job description

DKSH is seeking a Data Engineer, Specialist in Kuala Lumpur to design and implement scalable cloud data platforms that support global business decisions. You will drive end-to-end data pipelines, ensure data quality, and promote best practices across the data lifecycle.

Ideal candidates will have hands-on experience with Azure Data Services and Microsoft Fabric, strong Python/PySpark/SQL skills, and a collaborative mindset to work with IT, SMEs, and stakeholders.