Senior SQLdeveloper requird for an investment management client
As a SQL Developer within the Technology team, you will be instrumental in building out the Enterprise Warehouse and the database backend of the accounting platform.
You will be joining a global investment management firm committed to delivering better outcomes for its clients.
We are looking for a skilled SQL Web Application Developer to join our team.
The successful candidate will play a crucial role in transitioning and enhancing our extensive bespoke systems, which include functionalities in booking, HR, payroll, and accounting, previously operated on Microsoft Access and VBA, to a new SQL Server-based web platform.
(Tech stack: .NET Developer, .NET 8, ASP.NET, C#, React, Angular 17, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, SQL Server 2022, Programmer, Full Stack Engineer, Architect, .NET Developer)
At this very moment our client is constructing the world's first intelligent answer engine based on semantic information recognition.
This new search engine is based on innovative cloud data technology which doesn't recognise meaning by search words but rather by the correlation as regards to content and is able to generate answers from data.
Our client has an exciting opportunity for an Oracle Developer to join the team.
The Oracle Developer will play a pivotal role in developing, implementing, and maintaining Oracle databases as the university transitions to a cloud-based infrastructure.
About The Company
Our client, a renowned university, is seeking a talented Oracle Developer to support their IT team in transforming their systems to a cloud-based solution, optimising database systems, and ensuring efficient data management.
I am currently partnered with a Local Government agency in London on a long-term programme of work & they require a Developer experienced in Data and Analytics solution design and implementation using Agile and equivalent methodologies who will be working as part of a development team whose responsibility is to deliver complex data and BI products.
Detailed knowledge of ETL, data warehousing, data modelling and experience dealing with big data is expected.
Along with good knowledge of data schema structures, design and how they can be correctly applied to deliver robust solutions that meet specifications.