Data Engineer

Bounteous; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Bounteous in Singapore is seeking experienced Quantexa Data Engineers to join a large-scale Financial Crime & Compliance transformation program for a leading banking client.

You will design, develop, and maintain scalable data pipelines with Spark and Scala, implement Quantexa AML solutions, and deploy on OpenShift/Kubernetes while collaborating with business, architecture, and engineering teams to ensure data quality and performance.

Qualifications

• 5+ years of overall experience.
• 2+ years of hands-on Quantexa experience.
• AML, Fraud Detection, Financial Crime, or Compliance project experience.
• Exposure to AWS, Azure, or GCP.
• Candidates must be willing to relocate to Singapore.
• Maximum acceptable notice period is 60 days.

Responsibilities

• Design, develop, and maintain scalable data processing pipelines using Spark and Scala.
• Implement and support Quantexa-based AML and Financial Crime solutions.
• Build and optimize enterprise-scale data engineering workflows.
• Integrate Elasticsearch-based search and analytics capabilities.
• Deploy and support applications on OpenShift/Kubernetes environments.
• Collaborate with business, architecture, and engineering teams to deliver enterprise-grade solutions.
• Ensure high standards of data quality, performance, and reliability.

Skills

Quantexa

Spark

Scala

Hadoop

AML / KYC

Financial Crime

Tools

Elasticsearch

OpenShift

Kubernetes

Job description

Bounteous is looking for experienced Quantexa Data Engineers to join a large-scale Financial Crime & Compliance transformation program with a leading banking client in Singapore.

If you have strong expertise in Quantexa, Spark, Scala, Hadoop, and Financial Crime solutions, and are looking for an international opportunity, we'd love to hear from you!

Permanent

• Scala
• Elasticsearch
• OpenShift (OCP)
• DevOps & CI/CD
• AML / KYC / Financial Crime / Compliance Domain Experience
• Design, develop, and maintain scalable data processing pipelines using Spark and Scala.
• Implement and support Quantexa-based AML and Financial Crime solutions.
• Build and optimize enterprise-scale data engineering workflows.
• Integrate Elasticsearch-based search and analytics capabilities.
• Deploy and support applications on OpenShift/Kubernetes environments.
• Collaborate with business, architecture, and engineering teams to deliver enterprise-grade solutions.
• Ensure high standards of data quality, performance, and reliability.

Preferred Profile

• 5+ years of overall experience
• 2+ years of hands-on Quantexa experience
• AML, Fraud Detection, Financial Crime, or Compliance project experience
• Exposure to AWS, Azure, or GCP
• Candidates must be willing to relocate to Singapore.
• Maximum acceptable notice period is 60 days.
• Candidates with notice periods exceeding 60 days may not be considered.

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