Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Building and optimizing centralized data systems and pipeline architectures with an accent on ETL processes, data warehousing, and AWS infrastructure. Focus on assembling complex datasets, ensuring data security across regions, and providing actionable insights to support product innovation and operational efficiency.

Location: Must be based in Kuala Lumpur (Hybrid)

Company

A global fintech company building an ethical, interest-free financial system that is accessible and Shariah-compliant.

What you will do

• Design and maintain a centralized data system including data warehouses, lakes, and hubs.
• Build infrastructure for optimal extraction, transformation, and loading (ETL) from diverse sources.
• Assemble large, complex datasets to meet functional business requirements.
• Develop analytics tools and reports to track customer acquisition and operational metrics.
• Collaborate with cross-functional teams to resolve data-related technical issues.
• Ensure data security and separation across national boundaries and AWS regions.

Requirements

• 3 to 5 years of professional Data Engineering experience.
• Strong proficiency in Python and advanced SQL.
• Experience with big data architectures, ETL tools, and pipeline management.
• Familiarity with AWS, Linux environments, NoSQL databases (Elasticsearch), and event-streaming (Kafka).
• Degree in Computer Science, Statistics, Informatics, or a related quantitative field.
• Strong analytical skills with experience in root cause analysis and complex dataset management.

Culture & Benefits

• Opportunity to work on pioneering Shariah-compliant financial products.
• Collaborative environment focused on solving complex, real-world financial problems.
• Emphasis on pragmatic engineering solutions over theoretical idealism.
• Dynamic, global team structure with a focus on continuous learning and professional growth.