About The Position

Sparq is seeking a Senior SAP / Azure Engineer to lead backend engineering for a complex financial platform. This role involves building and maintaining an analytics engine, financial forecasting pipelines, rate table logic, and rules engine design across a range of financial products. The engineer will develop full-stack across front-end and back-end concurrently, leveraging Azure services for scalable, cloud-native delivery within an agile pod structure. Responsibilities include integrating with external financial systems, designing portfolio management data structures, developing front-end dashboards, and collaborating cross-team on shared data schemas. The role requires leveraging Azure infrastructure such as App Service, AKS, and data platform services to ensure backend components are performant, secure, and production-ready. The engineer will also participate in technical design reviews, support document output and reporting capabilities, and serve as a senior technical contributor through integration and closing workflow phases, maintaining code quality and technical consistency.

Requirements

  • Full-stack engineering depth with strong backend expertise in data analytics, financial calculations, and integration pipeline design.
  • Hands-on experience with Azure services, including App Service, AKS, and cloud-native data platform tooling.
  • Proven ability to integrate with external financial systems and build reliable data pipelines with structured error handling and calculation traceability.
  • Experience designing rate table and rules engines for complex financial products.
  • Ability to develop against agreed cross-team data schemas independently, without creating inter-pod dependencies.
  • Strong portfolio management data modeling skills and front-end dashboard development experience.
  • Flexibility to contribute across both front-end and back-end concurrently in a high-velocity agile pod environment.
  • Intellectual curiosity and drive to deliver technically complex solutions within a structured, milestone-driven engagement.
  • Desire to work collaboratively across delivery pods and participate actively in cross-team technical design reviews.
  • Hunger for continuous learning and professional growth in enterprise financial technology.
  • Good interpersonal, written, and verbal communication skills to engage effectively with technical and business stakeholders alike.
  • Experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech.

Responsibilities

  • Lead backend engineering for a complex financial platform, building and maintaining an analytics engine, financial forecasting pipelines, rate table logic, and rules engine design across a range of financial products.
  • Develop full-stack across front-end and back-end concurrently, leveraging Azure services to support scalable, cloud-native delivery within an agile pod structure.
  • Integrate with external financial systems and data sources, building reliable pipelines on Azure with structured error handling and full calculation traceability.
  • Design and implement portfolio management data structures and develop front-end dashboards that surface financial insights to end users.
  • Collaborate cross-team on shared data schemas, developing independently against agreed contracts to maintain velocity without creating inter-pod dependencies.
  • Leverage Azure infrastructure — including App Service, AKS, and data platform services — to ensure backend components are performant, secure, and production-ready.
  • Participate in technical design reviews with peer delivery pods, contributing architectural perspective on integration points and shared platform components.
  • Support structured document output and reporting capabilities, transforming financial data into consumable formats for business stakeholders.
  • Serve as a senior technical contributor through integration and closing workflow phases, maintaining code quality and technical consistency as the platform converges toward go-live.
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