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 Responsibilities
1. Investigate and diagnose data-related issues across live environments
2. Support and contribute to timely incident resolution
3. Escalate issues in line with the agreed support model
4. Manage and monitor batch processes and operational data workloads
5. Collaborate with project teams to support seamless deployment and transition of changes into production
6. Identify, rmend, and implement service improvements where capacity allows
7. Work closely with live service team members to maintain high service standards
Essential Skills & Experience
8. Proven Data Engineering experience in operational or live service environments
9. Strongpetency with ETL/ELT tools, such as: Azure Data FactoryInformaticaSSISAirflow
10. Strong SQL proficiency
11. Experience using monitoring tools, including: Application InsightsSplunkGrafanaCloudWatch
12. Experience with scheduling systems such as Cron, Autosys, or Control-M
13. Understanding of batch vs streaming data workloads
14. Familiarity with cloud/data platforms: Azure, AWS, or GCP
15. Ability to work effectively within structured support models and cross-functional teams
16. Active SC Clearance (mandatory)