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Data Engineer: ELT Pipelines & Analytics, Hybrid KL
Quantuma in Kuala Lumpur is seeking a data engineer to build and maintain ELT pipelines powering analytics and AI across K3 brands. You will enable data-driven decision making through high-quality, secure data access.…
Data Engineer
Build and maintain scalable data pipelines and warehouses for AI-driven products, using Python, SQL, and cloud platforms like AWS/GCP.
Senior Data Engineer
Design and build scalable GCP-based data pipelines and platforms using BigQuery, Dataflow, and Airflow to power analytics and AI initiatives.
Senior Data Engineer
Designs and builds ETL/ELT pipelines and data lakes for a Malaysian bank, using tools like Informatica, Kafka, and SQL to move and transform financial data for reporting and analytics.
Sr. Fabric Data Engineer
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, PySpark, and SQL to enable real-time, secure data operations for analytics and AI workloads.
Data Engineer - Platform & Analytics
Build and maintain cloud-based data pipelines, lakehouses, and reporting systems using SQL, ETL/ELT, and tools like Databricks and Power BI to deliver scalable analytics for APAC business teams.
Data Engineer
About Hytech Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end…
Data Engineer
Role Purpose : Build and maintain reliable ELT pipelines, data models, and data products powering analytics and AI across all K3 brands. Enable data- driven decision making through high-quality, secure data access. Key…
Data Engineer
Role Purpose Build and maintain reliable ELT pipelines, data models, and data products powering analytics and AI across all K3 brands. Enable data- driven decision making through high-quality, secure data access. Key…
Data Engineer
About the Company Our client is a prominent enterprise organization based in Petaling Jaya, leading digital innovation across its business functions. They are currently scaling their internal technology capabilities to…
Senior Data Engineer
Drive the implementation and optimization of centralized data repositories and data lake architectures , supporting enterprise-wide analytics and reporting. Identify, diagnose, and resolve data-related issues ,…
Junior, Data Engineer
Drive the implementation and optimization of centralized data repositories and data lake architectures , supporting enterprise-wide analytics and reporting. Identify, diagnose, and resolve data-related issues ,…
Data & AI Engineer
Build and optimize end-to-end data platforms using Microsoft Fabric, Azure Data Factory, and Power BI, then deliver AI-driven analytics and dashboards for enterprise customers across APAC.
Data Engineer
Build and optimize data pipelines and ETL/ELT processes using Python, Airflow, and GCP, ensuring data integrity for AI-driven enterprise products.
Data Engineer (Databricks)
Build and maintain Databricks ETL/ELT pipelines on Azure or AWS, transforming large datasets with SQL/Python and PySpark/Scala to deliver reliable data products for clients.
Senior Data Engineer
Build and maintain governed data pipelines, semantic layers, and AI-ready datasets for a UK professional-services group, ensuring auditability, multi-tenant security, and regulatory compliance across subsidiaries.
Data Engineer
Are You Ready to Engineer the Data Platform Behind Enterprise Intelligence? Our client is a diversified organisation with large-scale operations spanning food manufacturing, supply chain, and commercial sectors. With a…
Data Engineer
Build and maintain scalable ETL/ELT pipelines on Azure using Databricks, PySpark, and Azure Data Factory to ingest, transform, and deliver clean data for analytics and ML.
Data Quality Analyst
Designs and enforces enterprise-wide data quality rules, monitors critical assets, and embeds validation in pipelines to ensure reliable data for analytics, reporting, and AI in healthcare.
Data Engineer (Data Bricks)
Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and ETL tools like dbt or Airflow, with a focus on performance, cost, and data quality.