Environment & Configuration Engineer
6 Months
Hybrid 2 days in Telford
£540 per day
MUST HOLD ACTIVE SC CLEARANCE
Purpose:
The SAS Platform Environment and Configuration Engineer is responsible for the setup, configuration, and ongoing support of SAS environments across development, test, and production landscapes. This includes managing deployments, ensuring platform stability, and supporting integration with technologies such as Oracle and Microsoft 365. The role is critical to enabling secure, scalable, and performant analytics platforms, particularly in the context of SAS Viya migrations and multi-tenant deployments.
Key Responsibilities:
Design, configure, and maintain SAS environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4.
Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration.
Implement and manage configuration objects, service data, and translation objects within SAS environments.
Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD pipelines, and other enterprise platforms.
Monitor and optimise platform performance, ensuring high availability and compliance with security standards.
Provide technical support and troubleshooting for SAS users and developers.
Automate environment provisioning and data transfers using approved EA integration patterns.
Participate in community knowledge sharing and contribute to best practice documentation.
Essential Skills and Experience:
SAS Enterprise Guide (EG) - workflow orchestration and user support.
SAS Data Integration Studio (DI) - job development and deployment.
SAS Studio - job development and deployment.
SAS Viya 3.5 / Viya 4 - platform configuration, migration, and containerisation (Kubernetes).
SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support.
Oracle - integration and data pipeline support.
Configuration Management - experience managing service objects, deployment artefacts, and environment baselines.
Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration.
Desirable Attributes:
Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker).
Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines.
Knowledge of scheduling tools - Airflow
Strong documentation and communication skills.
Ability to work collaboratively across multidisciplinary teams.
