We are seeking a Senior Full Stack Engineer to support the Data Team, which aligns with Investment Systems Engineering to bring entity, portfolio, and security reference data closer to the investment lifecycle. Responsibilities Design, develop, and maintain full-stack applications supporting reference data management and investment-related workflows Build robust backend services, APIs, and data-processing components Develop intuitive, responsive frontend interfaces for data management, validation, search, review, and operational workflows Deliver data integration solutions supporting the management and distribution of entity, portfolio, and security reference data Establish reliable data relationships between investment entities, funds, portfolios, securities, issuers, counterparties, and related financial instruments Support workflows such as reference data onboarding, enrichment, validation, approval, reconciliation, and downstream distribution Collaborate with investment and operations stakeholders to understand how reference data supports the investment lifecycle Design and implement RESTful APIs and, where appropriate, event-driven integrations Integrate reference data services with internal investment platforms, data warehouses, and enterprise applications Work with relational databases and data services to support efficient data access and processing Implement data transformation, validation, and synchronization processes across systems Lead refactoring and redesign initiatives, architecting for resiliency, compliance, and auditability Requirements 7+ years of experience with Python, FastAPI, Next.js, React, TypeScript, SQL, and Docker Experience designing and implementing RESTful APIs and event-driven integrations using Kafka Knowledge of SQL and relational databases, preferably PostgreSQL, Microsoft SQL Server, or equivalent Experience with data modeling, data validation, and integration patterns Experience with data integration, ETL/ELT, and Python data pipelines Working experience with Kubernetes clusters and applications deployed as containers using Ubuntu-based images Strong commitment to test automation, including robust unit and manual integration testing Experience working in agile teams on complex, high-stakes applications Collaborative mindset, with a commitment to code reviews and peer learning Comfortable working with teams across the globe Familiarity with Atlassian tools (Jira, Confluence, etc.) System design expertise across microservices, database modeling, and API design English proficiency at B2 level or higher Nice to have Experience with GitHub Actions, Jira–GitHub integrations, and DevOps best practices Prior exposure to financial services or capital market domains
