DBA/Application Support Analyst required for established FinTech company based in West London. Hybrid working (1 - 2 days per month in office), excellent salary, bonus and generous benefits. Collaborative working environment. Key skills; Proven IT software applications (web. Mobile) and DBA support experience (Required). Proven Handson experience in supporting or building solutions using Azure cloud services like Azure data factory, blob storage, Function app and logic app (Required). Good understanding on web or mobile apps built using .net/Angular or similar software solutions. Knowledge or experience in writing PowerShell scripts Experience in API management (Required). Proven hands-on experience in creating SSIS packages, writing stored procedures, analysing and resolving DB performance issues. Ability to troubleshoot data load failures and resolving them, building SSRS reports, writing complex SQL (Required). Good knowledge in SQL DB set up including configurations, SQL DB cluster management. (Required). Proven hands-on experience in Monitoring and alerting tools e.g SolarWinds, DPA (Database performance Analyser) or any other similar tools (Required). Responsibilities; To provide 2nd and 3rd line support for all applications in scope, DBA activities following ITIL service management processes and SLAs Restore application and DB services quickly either with temporary or permanent solutions implementation, to meet customer satisfaction. Perform detail root cause analysis to identify permanent solutions for the Incident/problem tickets. Ensure business, IT teams and other internal and external stakeholders are well informed on the ticket progress and updates. Ensure L2/L3 services are delivered with quality and to customer satisfaction. Automate repetitive tasks to help application support team and DBA members focus on other value-added activities. Create monitoring and alerts using SolarWinds, DPA or other monitoring/observability tools to ensure high availability of applications/DBs and underlying services. Analysing and resolving DB performance issues. Debugging DB failures and resolving them within the Target SLAs