3 of 3 SQL Optimisation Jobs in London

building, and optimising APIs and backend logic using Python/Django Developing dynamic, responsive front-end features using React and related libraries Working with relational databases (PostgreSQL) and optimising SQL queries Implementing secure authentication and authorisation flows Integrating with third-party APIs and services Writing maintainable, testable code and participating in peer code reviews Collaborating with designers, product managers More ❯

architect high-performance solutions, implement automation, and ensure the platform scales effortlessly to support a growing global user base. What You’ll Be Doing Own the design, evolution, and optimisation of PostgreSQL schemas across all environments Lead query tuning, indexing, and capacity planning for mission-critical systems Develop secure backup, recovery, and disaster recovery procedures Explore multi-tenant and … CI/CD integrations Champion database best practices, mentor teams, and standardize tooling and automation What You’ll Bring Extensive experience managing cloud-hosted PostgreSQL at scale Proficiency in SQL optimisation, access control, and database security Experience with TimescaleDB and time-series data is a big plus Solid skills in Python, CI/CD pipelines, and automated testing More ❯

data platforms on Microsoft Azure. Your work will directly support migration initiatives, analytics enablement, and platform reliability. You'll be responsible for data pipeline development, resource deployment, and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing scalable data lakehouse architectures using Databricks on Azure. Building efficient ETL/ELT pipelines for structured and unstructured … data. Working with stakeholders to ensure high-quality, accessible data delivery. Optimising SQL workloads and data flows for analytics performance. Automating infrastructure deployment using Terraform and maintaining CI/CD practices. Supporting secure and performant data access via cloud-based networking. KEY SKILLS AND REQUIREMENTS Strong experience with Azure Databricks in production environments. Background with Azure Data Factory, Azure … Functions, and Synapse Analytics. Proficient in Python and advanced SQL, including query tuning and optimisation. Hands-on experience with big data tools such as Spark, Hadoop, and Kafka. Familiarity with CI/CD pipelines, version control, and deployment automation. Experience using Infrastructure as Code tools like Terraform. Solid understanding of Azure-based networking and cloud security principles. HOW TO More ❯