SQL Server Database Administrator jobs in Kent

Key Responsibilities - Administer, monitor, and optimize Microsoft SQL Server environments (2016/2019/2022) - Design, deploy, and manage SQL workloads on Microsoft Azure - Manage and support virtualized environments using Hyper-V - Implement and maintain backup and recovery solutions using Veeam - Perform capacity planning, performance tuning, and query optimization - Manage HA/DR solutions...

You will be working in a small team with direct contact with stakeholders and users. One of the key operational systems the team is responsible for is the in-house Port Management system.

You must be familiar with client/server and web technologies as well as being experienced in database administration.

Our client is looking for an experienced software developer to join their team and help them improve and adapt internal systems, expanding functionality and ensuring longevity. A Software Engineer is responsible for providing software development and engineering expertise for internally developed systems. These include POLARIS, the primary operational system team, and related ancillary systems...

You will lead contract performance reporting and support the development and dissemination of management information, collaborating with stakeholders to understand business needs and drive data-informed decision-making.

You will be responsible for designing, developing and implementing solutions using the MS Integration Services & MS Power Platform suite including but not limited to Logic Apps, Service Bus, Event Grid, APIM, Functions & Function Apps, SQL Server, Azure SQL, Dataverse, D365 modules, 3rd-party APIs, Azure Synapse, Fabric and Key Vault.

Overview Hybrid System role based near Gravesend, Kent. Applicants must be able to travel to Gravesend/Kent once or twice a week. Note: Sponsorship and post-study visa restrictions apply; do NOT apply if you require sponsorship. Job purpose Responsibilities Take business requirements from conception to implementation utilising the Uniface platform and the underlying SQL server...

DeveloperPurpose of the RoleTo provide versatile software development expertise across a range of technologies, supporting both Legacy systems and new applications as part of a major transformation programmeKey ResponsibilitiesDesign & Development * Work with Legacy technologies during the transition to a modernised platform. * Support the adoption of new low-code/no-code tools in line with...

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

Key Responsibilities - Administer, monitor, and optimize Microsoft SQL Server environments (2016/2019/2022) - Design, deploy, and manage SQL workloads on Microsoft Azure - Manage and support virtualized environments using Hyper-V - Implement and maintain backup and recovery solutions using Veeam - Perform capacity planning, performance tuning, and query optimization - Manage HA/DR solutions...

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will be responsible for designing, developing and implementing solutions using the MS Integration Services & MS Power Platform suite including but not limited to Logic Apps, Service Bus, Event Grid, APIM, Functions & Function Apps, SQL Server, Azure SQL, Dataverse, D365 modules, 3rd-party APIs, Azure Synapse, Fabric and Key Vault.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.