7 дней назад
MuleSoft / Java Software Developer in Den Haag, South Holland (Financial Services)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
MuleSoft / Java Software Developer (Financial Services): Building and maintaining real-time integrations between an Execution Management System and a Data Science platform with an accent on MuleSoft, Java, Azure, APIs, and trading-data processing. Focus on migrating integrations to Azure, configuring Event Hub connectivity, and solving reliability and performance challenges in production financial systems.
Location: Den Haag, South Holland / Rotterdam, hybrid
Salary: Negotiable EUR per year
Company
The role supports a large financial organisation developing integrations between trading systems and a Data Science platform.
What you will do
- Develop, test, and deploy integrations between an Execution Management System and a Data Science platform.
- Build and maintain APIs and integration services with MuleSoft and Java.
- Support the migration of existing MuleSoft integrations to an Azure-based landscape.
- Integrate real-time trading data with Bloomberg data and process it through Azure.
- Configure and maintain Azure Event Hub connectivity and reliable two-way data flows.
- Troubleshoot and optimise production integrations for reliability and performance.
Requirements
- Strong experience with MuleSoft and Anypoint Platform.
- Solid Java development experience.
- Strong Microsoft Azure experience.
- Experience with REST APIs, RAML, JSON, and 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.
- Azure DevOps experience.
- Bloomberg integrations, financial services, or trading systems experience.
- MongoDB, Linux, OAuth, or Data Science platform experience.
Culture & Benefits
- Permanent employment.
- Hybrid working arrangement.
- Independent work in a complex integration environment.
- Focus on solving technical problems and maintaining reliability of real-time financial data flows.
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