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Data Engineer Jobs in Singapore 2026 | Quick Hiring

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Data Engineer Jobs in Singapore 2026 | Quick Hiring

Ready to fight financial crime with cutting-edge data engineering? Bounteous is hiring a Quantexa Data Engineer in Singapore. Employment Pass sponsorship and relocation support are both included. If AML and compliance systems intrigue you, this role fits well.

About the Role

This permanent role focuses on building enterprise-scale data pipelines using Spark and Scala. You will develop Quantexa-based solutions for AML and Financial Crime initiatives. Additionally, you will optimise Elasticsearch for indexing, searching, and data retrieval. Deployment happens across OpenShift and Kubernetes containerised environments consistently.

About the Hiring Firm

Bounteous is the hiring company for this permanent Singapore-based position. The role offers exposure to enterprise-scale AML and compliance programs. It promises a collaborative, innovative, and global work environment. Further company background was not detailed in the original posting.

Job Duties

  • Design and maintain data pipelines using Spark and Scala
  • Implement data transformation and enrichment for analytics use cases
  • Develop Quantexa solutions supporting AML and Financial Crime work
  • Integrate and optimise Elasticsearch for search and retrieval tasks
  • Build scalable applications using Spark DataFrames and Datasets
  • Deploy solutions across OpenShift and Kubernetes environments
  • Collaborate with DevOps teams on CI/CD pipeline automation
  • Monitor and troubleshoot data pipelines for performance issues
  • Ensure data quality, governance, and compliance standards are met

Job Requirements

  • 3–8 years of relevant professional experience required
  • Strong hands-on experience with Quantexa implementations mandatory
  • Apache Spark and Scala development experience is essential
  • Hadoop ecosystem experience, including HDFS and Hive, required
  • Elasticsearch administration and query optimisation skills needed
  • Experience with OpenShift, Kubernetes, and containerised deployments required
  • Familiarity with CI/CD tools like Jenkins and Docker needed
  • Banking, AML, or Financial Crime domain experience preferred
  • Python or Java experience is considered a plus
  • Bachelor’s or Master’s degree in a related field required

#339966;">#339966;" href="https://www.linkedin.com/jobs/view/data-engineer-at-bounteous-4443237991/" target="_blank" rel="noopener">Click Here to Apply

Conclusion

This role blends technical depth with meaningful, high-stakes impact. Working on financial crime compliance systems offers both challenge and purpose. For data engineers seeking global exposure, Singapore presents a strong next step.

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