4 of 4 Database Optimisation Jobs in London

solutions. In this role, you will design and implement high-performance systems for Client’s fintech platform, making use of your expertise in .NET, database optimisation, and API design. If you are a problem-solver who thrives on technical challenges and wants to help shape the future … recommend technologies, frameworks, and patterns to improve system performance and scalability Ensure solutions align with security, performance, and regulatory requirements in a fintech environment Database & Performance Optimisation Optimise database performance, query efficiency, and data access patterns Identify and resolve performance bottlenecks across applications and services Ensure data ...

practice tools and standards. Identify and introduce emerging technologies to enhance organisational data capability. About You Proven experience in data engineering, ETL development and database optimisation. Strong understanding of data modelling, governance and regulatory compliance. Experience working in complex organisational environments. Strong analytical skills with the ability to translate ...

scalable fintech platform Working across greenfield and existing systems, ensuring maintainability and resilience Contributing to microservices-based architectures and event-driven systems Supporting database optimisation, query performance and data integrity (SQL Server) Building and maintaining CI/CD pipelines and production-ready services Participating in architecture discussions, system … fintech environments Experience working on live production systems Strong understanding of distributed, asynchronous, event-driven architectures Solid experience with SQL Server and performance optimisation Familiarity with ORMs such as Entity Framework Core or Dapper Experience with CI/CD tooling (e.g. Azure DevOps, Jenkins) Product-led mindset with ...

deployments. Tech stack Rust for core services TypeScript for user interfaces PostgreSQL for persistent state Kubernetes for deployment and orchestration Core areas of work Database optimization under high load and concurrent access patterns Distributed job scheduling and retry logic Real time observability and monitoring Designing for failure from ...