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Mulesoft / Java Software Developer

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Summary

A MuleSoft/Java developer building and maintaining real-time integrations between an Execution Management System and a Data Science platform for a large financial organisation, using MuleSoft, Java, Azure Event Hub and Bloomberg data, while supporting the migration from MuleSoft to an Azure-based integration landscape.

About the Role

For a large financial organisation, we are looking for a MuleSoft / Java Developer.

The project focuses on building and maintaining integrations between an Execution Management System and a Data Science platform. Real-time data is enriched with Bloomberg data and processed through Azure. The organisation is currently moving away from MuleSoft towards an Azure-based integration landscape, so this role will also contribute to that transition.

Your Responsibilities

  • Develop, test and deploy integrations between the EMS and Data Science platform.
  • Build and maintain APIs and integration services using MuleSoft and Java.
  • Support the migration of existing integrations from MuleSoft to Azure.
  • Integrate real-time trading data with Bloomberg data.
  • Configure and maintain Azure Event Hub connectivity.
  • Ensure reliable two-way data flows between trading systems and Data Science algorithms.
  • Troubleshoot and optimise integrations in a production environment.

Required Skills

  • Strong experience with MuleSoft / Anypoint Platform
  • Strong experience with Microsoft Azure
  • REST APIs, RAML and JSON
  • Experience with event-driven or real-time integrations
  • Experience developing and deploying production-grade interfaces
  • Strong analytical and problem-solving skills

Nice to Have

  • Experience migrating integrations from MuleSoft to Azure
  • Bloomberg integrations
  • Financial services or trading systems
  • OAuth
  • Experience working with Data Science platforms

Who Will Thrive Here

Someone who can work independently in a complex integration environment, enjoys solving technical problems and understands the importance of reliability and performance when working with real-time financial data.

Skills

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