2 of 2 Apprenticeship Data Integration Jobs

Level 3 Digital Support Technician Apprenticeship, which offers blended learning, combining online training with practical workplace experience. Role Are you ready to dive into the high-stakes world of data and cutting-edge financial technology? Do you have a technical, analytical mind and a passion for turning complex data into powerful solutions? What You'll Be Doing: The … Technical Core of Client Success You'll be the technical linchpin in client onboarding and implementation projects. You'll move beyond theory and get hands-on with real-world data integration: Data Transformation: Work with various complex data formats (JSON, XML, CSV) and use tools like Jinja2 transforms to integrate client data into the firm … s own platform Integration & APIs: Get comfortable using APIs and SFTP to build seamless data transmission layers between their clients and their award-winning software Problem-Solving: Quickly debug, manipulate, and validate large, complex datasets, owning the process for resolving data and market data issues Tooling & Automation: Contribute to their internal efficiency by scripting in Python More ❯

Client Delivery Apprentice Are you ready to dive into the high-stakes world of data and financial technology ? Do you have a technical, analytical mind and a passion for turning complex data into powerful solutions? Our client is a leading global provider of analytics and optimisation tools for the derivatives industry, and is looking for a driven and … Technical Core of Client Success You'll be the technical linchpin in client onboarding and implementation projects. You'll move beyond theory and get hands-on with real-world data integration: Data Transformation: Work with various complex data formats (JSON, XML, CSV) and use tools like Jinja2 transforms to integrate client data into the firm … s own platform. Integration & APIs: Get comfortable using APIs and SFTP to build seamless data transmission layers between their clients and their award-winning software. Problem-Solving: Quickly debug, manipulate, and validate large, complex datasets , owning the process for resolving data and market data issues. Tooling & Automation: Contribute to their internal efficiency by scripting in Python More ❯