• Investigate and diagnose data-related issues across live environments
• Support and contribute to timely incident resolution
• Escalate issues in line with the agreed support model
• Manage and monitor batch processes and operational data workloads
• Collaborate with project teams to support seamless deployment and transition of changes into production
• Identify, recommend, and implement service improvements where capacity allows
• Work closely with live service team members to maintain high service standards

• Proven Data Engineering experience in operational or live service environments
• Strong competency with ETL/ELT tools, such as:
  • Azure Data Factory
  • Informatica
  • SSIS
  • Airflow
• Strong SQL proficiency
• Experience using monitoring tools, including:
  • Application Insights
  • Splunk
  • Grafana
  • CloudWatch
• Experience with scheduling systems such as Cron, Autosys, or Control-M
• Understanding of batch vs streaming data workloads
• Familiarity with cloud/data platforms: Azure, AWS, or GCP
• Ability to work effectively within structured support models and cross-functional teams
• Active SC Clearance (mandatory)

What you need to do now

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