Senior Full Stack Engineer

• Full Stack Development & System Design
• Designing and building scalable, maintainable, and high-performance applications across backend and frontend layers
• Developing backend services using Python and SQL, with integration into Azure-based infrastructure and Snowflake data platforms
• Building intuitive, performant front-end interfaces using React and modern JavaScript/TypeScript frameworks
• Contributing to architecture decisions across multiple products, ensuring consistency, scalability, and long-term maintainability
• Designing and developing APIs for internal and external consumption
• Data Platform & Product Engineering
• Working on data-intensive products, including Data Fusion and analytics platforms, handling large-scale datasets and complex transformations
• Collaborating with data scientists to productionise models, pipelines, and analytical workflows
• Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases
• Ensuring data quality, integrity, and observability across systems
• Delivery & Engineering Excellence
• Taking ownership of features from design through to deployment and ongoing iteration
• Working within agile development processes, contributing to sprint planning, estimation, and continuous improvement
• Writing clean, well-tested, and maintainable code, with strong emphasis on automated testing and CI/CD practices
• Contributing to engineering standards, code reviews, and best practices across the Development team
• Cross-functional Collaboration
• Working closely with Product Managers, Data Scientists, QA, and Technical Leadership to deliver high-quality products
• Collaborating with external partners, clients, and industry stakeholders where required
• Translating complex data and technical requirements into scalable engineering solutions
• AI-Enabled Development Practices
• Effectively integrating AI-assisted development tools (e.g., code generation, testing, debugging, documentation) into day-to-day workflows
• Applying critical judgement to ensure correctness, security, and maintainability of AI-assisted outputs
• Continuously evaluating emerging AI tools and practices to improve engineering efficiency and quality

• Proven experience (typically 5–10+ years) in full stack software engineering, ideally within data heavy, analytics, or SaaS environments
• Strong backend development experience with Python and SQL (relational and/or analytical databases)
• Experience working with cloud platforms, particularly Azure
• Experience working with modern data platforms such as Snowflake (or similar analytical warehouses)
• Experience with .NET is desirable
• Strong frontend development experience using React and modern JavaScript/TypeScript
• Experience designing and building APIs and distributed systems
• Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation
• Experience with CI/CD, containerised systems, and modern deployment workflows
• Familiarity with working alongside data science teams and deploying data-driven products
• Experience working in agile environments (Scrum/Kanban) with strong ownership of delivery
• Strong problem-solving skills and ability to work with complex, data-rich systems
• Excellent communication skills and ability to collaborate across technical and non-technical stakeholders

Experience with .NET is desirable

• Hybrid working model (2 days per week in our Central London office)
• A collaborative environment with strong engineering and data science expertise
• 25 days holiday rising to 30
• private medical insurance
• pension
• season ticket loan and more