Senior Full Stack Engineer (Python & Next.js) with Data Integration

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