About the RoleWe''re seeking an experienced Data Engineer to join a live services environment supporting critical data platforms and operational workloads. This is a hands-on role focused on troubleshooting, incident resolution, maintaining batch operations, and ensuring the smooth transition of new changes into production.You''ll work closely with colleagues across Live Services and Project Teams, helping to maintain platform stability, resolve issues efficiently, and drive continuous improvement.Key ResponsibilitiesInvestigate and diagnose data-related issues across live environmentsSupport and contribute to timely incident resolutionEscalate issues in line with the agreed support modelManage and monitor batch processes and operational data workloadsCollaborate with project teams to support seamless deployment and transition of changes into productionIdentify, recommend, and implement service improvements where capacity allowsWork closely with live service team members to maintain high service standardsEssential Skills and ExperienceProven Data Engineering experience in operational or live service environmentsStrong competency with ETL/ELT tools, such as: Azure Data FactoryInformaticaSSISAirflowStrong SQL proficiencyExperience using monitoring tools, including: Application InsightsSplunkGrafanaCloudWatchExperience with scheduling systems such as Cron, Autosys, or Control-MUnderstanding of batch vs streaming data workloadsFamiliarity with cloud/data platforms: Azure, AWS, or