Data Engineer jobs in Malaysia
Data Engineer - Scalable Pipelines & Analytics
Link Compliance
Metro Systems Integration & Data Engineer
AT & S Austria Technologie & Systemtechnik Aktiengesellschaft
Data Engineer
Geco Asia Pte LTD
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ARRK Engineering
Senior Data Engineer - Asia & Middle East Operations
Quantexa
Junior Data Engineer
MR DIY TRADING SDN BHD
Connect with headhunters to apply for similar jobsSenior Data Engineer
TRIIIO VERTEX SDN. BHD.
Senior Data Engineer: On-Prem SQL & ETL Leader
TRIIIO VERTEX SDN. BHD.
Senior Data Engineer — Asia & ME (Secondment)
Quantexa
Sustainable Chemical Process Engineer Data-Driven Innovator
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Associate - Data Engineer
Ernst & Young Advisory Services Sdn Bhd
Data Analyst Engineer | 1 year contract
Hunters International Sdn Bhd
Data Engineer
Job summary
A leading digital bank in Malaysia is looking for a Data Engineer to design and maintain scalable data pipelines. The ideal candidate will have strong expertise in Apache Airflow and Python, alongside SQL knowledge. Responsibilities include collaborating with product teams and optimizing data workflows to enhance performance and reliability. This role is pivotal in supporting data-driven decisions and improving operational efficiencies.
Qualifications
- Proven experience as a Data Engineer in a production environment.
- Strong expertise in Apache Airflow for workflow orchestration.
- Proficiency in Python for data processing tasks.
- Solid understanding of SQL and experience working with relational databases.
- Familiarity with ETL/ELT best practices and data modeling concepts.
- Experience working in agile, product-focused teams.
Responsibilities
- Design, develop, and maintain reliable and scalable data pipelines using Apache Airflow.
- Collaborate closely with product managers, backend engineers, and analysts.
- Monitor, troubleshoot, and optimize data workflows to ensure high performance.
- Participate in code reviews and technical design discussions.
Skills
Tools
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
My client is one of the leading digital banks in Malaysia.
Job Responsibilities:
- Design, develop, and maintain reliable and scalable data pipelines using Apache Airflow.
- Implement data ingestion, transformation, and validation processes in Python to support:
- Loan collection tracking and reporting
- Card payment settlement workflows
- Merchant transaction analysis
- Daily/periodic balance snapshot generation
- Customer loyalty and rewards analytics
- Collaborate closely with product managers, backend engineers, and analysts to ensure data pipelines align with business requirements.
- Monitor, troubleshoot, and optimize data workflows to ensure high performance and reliability.
- Enforce data quality standards and contribute to data governance processes.
- Participate in code reviews and technical design discussions.
- (Optional) Enhance backend data services or processing logic using Java when applicable.
- Stay informed of the latest trends in data engineering to continuously improve pipeline efficiency and robustness.
Job Requirements:
- Proven experience as a Data Engineer in a production environment.
- Strong expertise in Apache Airflow for workflow orchestration.
- Proficiency in Python for data processing tasks.
- Solid understanding of SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).
- Familiarity with ETL/ELT best practices and data modeling concepts.
- Experience working in agile, product-focused teams.
- Ability to manage multiple pipelines and prioritize tasks effectively.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.