We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation.
Your new role
The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery.
Lynx are recruiting for an experienced SQL Database Administrator for an exciting logistics company based in the Birmingham area.
They need SQL Database Administrators with at least 5 years' previous SQL Database experience and any knowledge of Data Warehousing, Azure, PowerBI, Looker or Tableau would be beneficial.
The role is initially office-based for the first 12 - 14 weeks then it will be hybrid once or twice a week in the office.
Working as a Database Administrator, you will be a pivotal member of the Data and Technology Team.
An exciting opportunity to join a prominent logistics and supply chain organisation as an experienced Database Administrator.
The client is a leading provider of import/export air, ocean, and road freight forwarding, supply chain management, and specialised services in retail, manufacturing, and chemicals.
A great opportunity has come up to work for an innovative organisation as they look to build the Database team.
For this opportunity, you will be required to Report to one of the Domain Team Managers, and working closely with the development team you will be responsible for the performance of approximately 50 mission-critical SQL Server instances.
We are seeking a Lead SQL Database Administrator with a strong background in database management systems, data modelling, and integration technologies.
The successful candidate will lead a team of Database Developers, ensuring the reliability, security, and scalability of our database infrastructure.
This role requires expertise in database management systems (design, implementation, maintenance, and performance optimisation), data modelling, and awareness of integration technologies to ensure the seamless flow of data across disparate systems.