• Build and optimise SQL Server logic that supports investment performance calculations and reporting • Improve query performance and resolve bottlenecks across large and complex datasets • Translate investment data from custodians and market sources into structured, analytics ready models • Work closely with engineering and product teams to ensure outputs are accurate, reliable and aligned to client needs

• Implement the portal's UI (landing and journeys) using reusable components • Implement a Python backend for business logic and API integration • Consume governed APIs and robustly handle state and errors • Integrate authentication and authorization (tokens, sessions, and roles) according to CIAM standards • Create tests (unit, integration, and basic end-to-end) and support stabilization

• Develop and maintain the Python codebase for the core automation engine, including data ingestion pipelines, standardization logic, and matching algorithms • Design and implement ETL middleware solutions that process, validate, and transform data from multiple sources with high accuracy and performance • Build Excel and PDF output pipelines using pandas, openpyxl, and xlsxwriter to generate comprehensive reports and reconciliation documents • Create responsive frontend components using React.js that enable users to interact with automation workflows and visualize results • Translate business rules into scalable code by collaborating with stakeholders to understand matching scenarios, reconciliation logic, and classification requirements • Write comprehensive unit tests using pytest to ensure code quality, reliability, and maintainability across the full stack • Document matching rules and reconciliation scenarios based on stakeholder discussions, serving as a bridge between technical implementation and business requirements • Collaborate with senior developers to architect solutions that balance performance, scalability, and maintainability

• Desarrollo, mantenimiento y mejora continua de aplicaciones web internas mediante la implementación/adaptación de funcionalidades. • Análisis y resolución de incidencias técnicas. • Interacción con usuarios y soporte técnico. • Optimización de consultas y rendimiento en base de datos.