- Scale daily QC capacity and improve QC efficiency
30+ days
Data Engineer Jobs in Bandar Kuala Lumpur - October 2026 - Urgent Hiring
Showing 270 jobs results for
"data engineer"
in Bandar Kuala Lumpur
- Project Overview
26 days
- Project Overview
26 days
- Accurately input, update, and maintain customer, order, shipment, and logistics data in Excel and internal systems.
30+ days
- Scale daily QC capacity and improve QC efficiency
30+ days
Data Engineer
- Hiring: Data engineerWe’re looking for a Data engineer with 5+ years of experience to join our team Experience: 5+ years Location: KL, MalaysiaKey Skills: Azure, Devops, AWS, CI/CD, AWS Glue, Azure Devops, GitHub, RedshiftJob scope:. maintaining and optimising our enterprise data warehouse platform . supporting the migration of data warehouse capabilities from Microsoft Azure to AWS . building, improving, and supporting data engineering pipelines and data warehouse workloads . monitoring platform performance and identifying opportunities for optimisation and cost efficiency . enabling and supporting data engineers across the organisation in delivering high-quality data solutions . applying data warehousing best practices, troubleshooting incidents, and contributing to platform reliability and continuous improvement. Interested candidates can share their profile +60 14-629 5130
16 days
Data Engineer
- Guide and drive discussions, support decision-making in processes and solutions, and mentor in discussions.
30+ days
Data Engineer
- Duration: Approximately 6 - 12 months, subject to project requirements
29 days
Data Engineer
- Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases.
24 days
Data Engineer
- Design, develop, deploy, and maintain reports using SQL Server Reporting Services (SSRS).
21 days
Data Engineer
- Design, develop, and maintain engineering data models, databases, and data architecture.
21 days
DATA ENGINEER
- Design, develop and maintain scalable data engineering solutions on Azure.
21 days
Data Engineer
- Design, build, and maintain scalable ETL/ELT pipelines to extract data from various business systems.
21 days
Data Engineer
- Design and implement data models that support business requirements and data analytics.
20 days
Data Engineer
- Optimise, maintain, and improve the robustness of existing ETL scripts and data pipelines, including ownership of existing SQL Server processes.
13 days
13 days
Data Engineer
- Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
11 days
Data Engineer
- Develop ELT pipelines from SaaS, ERP, CRM and finance systems into the Azure data platform (Azure Data Lake, Synapse/Databricks, PostgreSQL), following the Group's documented ingestion patterns.
9 days
9 days
Data Engineer
- Actively contribute towards all data engineering best practices across the Engineering function
9 days
8 days
Data Engineer
- Design, develop, and maintain scalable data pipelines and data products using Databricks and PySpark.
7 days
5 days
5 days
4 days
Data Engineer
- Design, build and maintain scalable data pipelines and data platforms.
3 days
2 days
Data Engineer
- Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases.
2 days
1 day
Data Engineer
- Routine Data Support: Leverage big data technologies to build a structured data delivery system for Compliance, Trading, and other business teams; ensure timely, accurate, and traceable data outputs, and maintain the team's existing data development workflows.
1 day