4 of 4 Relational Database Jobs in Surrey

grade applications. The candidate should have hands-on experience with GOV.UK Frontend, authentication and authorization frameworks such as OIDC/OAuth, containerization technologies, and relational databases like PostgreSQL. Key Responsibilities Lead the design, development, and deployment of scalable web applications using Python and Django. Provide technical leadership and mentorship … cross-functional teams including Product, DevOps, QA, and Architecture teams. Ensure code quality through reviews, best practices, and automated testing. Design and optimize PostgreSQL database schemas and queries. Manage containerized deployments using Docker. Participate in solution design, estimation, and technical planning activities. Drive CI/CD adoption and engineering ...

grade applications. The candidate should have hands-on experience with GOV.UK Frontend, authentication and authorization frameworks such as OIDC/OAuth, containerization technologies, and relational databases like PostgreSQL. Key Responsibilities Lead the design, development, and deployment of scalable web applications using Python and Django. Provide technical leadership and mentorship … cross-functional teams including Product, DevOps, QA, and Architecture teams. Ensure code quality through reviews, best practices, and automated testing. Design and optimize PostgreSQL database schemas and queries. Manage containerized deployments using Docker. Participate in solution design, estimation, and technical planning activities. Drive CI/CD adoption and engineering ...

/DC pension schemes and their calculation requirements Management of key stakeholders at all levels in a typical corporate environment Experience of relational databases Demonstrable programming experience (e.g. SQL/.NET/VBA) Experience of management responsibilities such as, work prioritisation, holding others to account, risk management Experience ...

answering over enterprise datasets. Developing AI-ready data foundations, including unstructured data pipelines, metadata extraction and enrichment, and hybrid architectures using vector stores alongside relational databases. Proven ability to deploy AI systems into production environments, with effective monitoring of model behaviour, data drift, cost, and latency, and the judgment ...