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Data Engineer

RHB Banking Group • Property & Casualty Insurance • Asset Management & Funds • ETL/ELT • 9 hours ago

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Salary

≈ $14k – $42k per year (Estimated)

Location

In office (Kuala Lumpur)

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Oct 1, 2026. RHB Banking Group scores C on the Alion truth index.

Overview

Company

Impact

Profile match

RHB Banking Group

Headquartered in Kuala Lumpur, Malaysia, RHB Banking Group is one of the largest fully integrated financial services institutions in Southeast Asia. The group offers a comprehensive suite of conventional and Shariah-compliant financial solutions, including retail and commercial banking, investment banking, asset management, stockbroking, and general insurance. Additionally, it serves retail customers, small businesses, and large corporate clients across Malaysia and multiple regional markets, including Singapore, Indonesia, Thailand, and Cambodia.

rhb.com • HQ: Kuala Lumpur, Malaysia • Property & Casualty Insurance • Online Brokerage & Trading Platforms • Asset Management & Funds • Investment Banking & M&A Advisory • Commercial & Retail Banks • 1001-5000 employees

Tech stack of RHB Banking Group

Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases.
Build and optimize data ingestion, transformation, and integration workflows across batch and near real-time processing environments.
Develop and maintain automated ETL/ELT processes, workflow orchestration, and scheduling mechanisms to ensure reliable data delivery.
Design and implement data cleansing, standardization, enrichment, and transformation processes to produce trusted and consumption-ready datasets.
Collaborate with business, Analytics Insights, and technology teams to translate business requirements into reusable Data Products and data solutions.
Implement and maintain data quality controls, validation rules, reconciliation processes, and exception handling mechanisms.
Monitor and troubleshoot data pipelines, perform root cause analysis, and support production incident resolution.
Maintain technical metadata, source-to-target mappings, data lineage, and technical documentation.
Ensure data solutions comply with enterprise data governance, security, privacy, and regulatory requirements.
Support system integration testing (SIT), user acceptance testing (UAT), deployment, and production implementation activities.
Identify and drive opportunities for automation, optimization, scalability, and continuous improvement across data engineering processes.
Work closely with Platform Engineering teams to ensure data solutions are operationally stable, performant, and scalable.

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