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This role involves developing and maintaining backend applications using Java and Spring Boot while collaborating on API interactions and deployment automation. The developer will work with project teams to implement features and manage operational tasks within a DevOps-focused environment.
The Java Backend Engineer will design and develop scalable financial platforms using Java and Spring Boot. The role involves collaborating with cross-functional teams to build secure, high-performance systems and contributing to CI/CD pipelines.
Build scalable analytics workflows and produce regulatory and market risk metrics for Goldman Sachs' Markets Risk Analytics & Reporting group in London, relying on strong programming and data visualization skills.
The Data Engineering Lead will oversee the migration of legacy Oracle/Informatica reporting systems to a cloud-native Snowflake platform. This role involves leading a team to build scalable, governed data solutions for financial clearing services while ensuring high availability and regulatory compliance.
Lead Software Engineer designing and building secure, scalable data engineering solutions for risk technology, using Java and Python with AI-assisted engineering practices.
Design, provision, and operate a modern cloud data platform on AWS and Databricks, building automation, implementing security controls, and improving platform reliability through observability.
The Senior Data Engineer will build data sources, flows, and architectures within a Snowflake ecosystem to support batch and streaming workloads for a financial services firm. The role involves working with Azure and Python in an Agile environment.
The Lead Data Engineer will design and scale data pipelines and analytics platforms to support AI initiatives within a regulated financial environment. The role involves leading technical teams, ensuring SDLC compliance, and managing data governance using Python and Databricks.
Lead Data Engineer building and evolving a Databricks/Azure cloud data platform, designing scalable pipelines with Python and PySpark while mentoring a data engineering team.
Design, build, and operate a high-throughput, low-latency data platform delivering real-time market data using Flink, Kafka, Java, and .NET APIs.
Senior Lead Data Engineer at J.P. Morgan in London designing and maintaining scalable real-time streaming data pipelines on AWS using Java and Kafka, with a focus on low-latency processing and data governance.
Data Engineer building ELT pipelines, data models, and analytics solutions using Python, Databricks, AWS, and SQL at JPMorgan Chase in London.
Lead Data Platform Engineer on JPMorgan's Credit Data Pond team, building secure, scalable data solutions across the full SDLC using Python, Java, AWS, and Databricks within wholesale credit risk technology.
The Lead Data Platform Engineer will lead an agile team to build and maintain data pipelines and data lakes within the Ascend Cloud Foundation platform. This role requires expertise in AWS, Apache Spark, and DevOps practices to deliver scalable data solutions.
Senior Data Engineer designing and building scalable data platforms for fintech clients using Python, PySpark, SQL, and AWS in a hybrid London role.
The VP of Full-Stack Engineering will lead software teams at BNY Mellon to deliver secure, scalable systems while driving cloud adoption, AI integration, and architecture modernization.
Citibank is seeking a full-stack engineer to design and deliver GenAI-powered enterprise platforms. The role involves working across the full stack, including frontend, backend, APIs, and cloud services, while implementing DevSecOps practices.
The Test Lead will manage end-to-end testing, strategy, and quality governance for a large-scale public sector transformation program involving Microsoft Dynamics 365 Finance and Azure DevOps.
The Lead DevOps Architect will design, automate, and maintain scalable trading infrastructure across cloud and on-premise environments. The role focuses on building CI/CD pipelines, platform engineering, and observability to ensure reliable and secure trading operations.
The Senior .NET Engineer will develop and maintain credit risk systems for trading operations using .NET technologies. The role involves working in an agile environment with a focus on CI/CD, automated testing, and integrating AI-driven development practices.
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