Data Engineer (Financial Risk)

Argyll Scott Singapore; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading global financial institution in Singapore is seeking an experienced Data Platform Developer to design and maintain scalable data platforms supporting trading and risk management. The ideal candidate will have strong knowledge in Java and Scala, with experience in cloud platforms and data engineering principles. This role offers hands-on exposure to a collaborative environment focusing on regulatory data systems. Interested candidates should email their applications.

Qualifications

• 3-5 years of experience in data or computation-intensive backend systems.
• Strong proficiency in Java and/or Scala.
• Solid foundation in data engineering and system architecture.

Responsibilities

• Design, develop, and maintain scalable data platforms.
• Collaborate with stakeholders to gather requirements.
• Build and optimize high-volume data pipelines.

Skills

Java

Scala

Data Engineering

Problem-Solving

Cloud Platforms (AWS, Azure, GCP)

Education

Degree in Computer Science, Engineering, or related field

Tools

Jenkins

Git

Bitbucket

JIRA

Databricks

Snowflake

Job description

About the Company

This role sits within a leading global financial institution’s technology division, supporting large-scale data solutions that enable market risk and regulatory reporting functions. The successful candidate will design and develop high-performance platforms managing complex data flows across multiple systems, ensuring accuracy, resilience, and compliance with international standards. The position provides hands-on exposure to diverse financial products, regulatory frameworks, and a modern technology stack, offering a blend of technical depth and business engagement in a fast-paced, collaborative environment.

Key Responsibilities

• Design, develop, and maintain scalable data platforms and backend applications supporting trading and risk management operations.
• Collaborate with stakeholders to gather requirements and translate business needs into robust technical solutions.
• Build and optimize high-volume data pipelines with strong focus on accuracy, performance, and fault tolerance.
• Contribute throughout the full system lifecycle, including design, coding, testing, and production support.
• Work with a diverse technology landscape including Java, Scala, Python, cloud platforms, and CI/CD tools.
• Enhance and modernize existing components while maintaining stability of legacy systems.

Key Requirements

• 3–5 years of experience designing and delivering resilient data or computation-intensive backend systems.
• Strong proficiency in Java and/or Scala, with readiness to learn the other as needed.
• Solid foundation in data engineering, data modeling, and system architecture principles.
• Experience with cloud platforms (AWS, Azure, or GCP) and modern data tools such as Databricks or Snowflake.
• Familiarity with CI/CD pipelines and Agile development practices (e.g., Jenkins, Git, Bitbucket, JIRA).
• Strong analytical and problem-solving skills with interest in financial or regulatory data systems.
• Degree in Computer Science, Engineering, or a related technical field preferred.

If this role aligns with your experience and career goals, please send your application to [e-mail].

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.