About the Role
We'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
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
Essential Skills & Experience
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
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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