Data Engineer

Link Compliance; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

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

Apache Airflow

Python

SQL

Data Engineering

Tools

PostgreSQL

MySQL

Job description

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Data Engineer

Job Description:

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.