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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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