SAS Data Engineers - SC Clearance And Remote Job Telford England UK,IT/Tech

SAS Data Engineers - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+/RATE: £470 per day inside IR35

One of our Blue Chip Clients is urgently looking for three SAS Data Engineers.

Please find some details below:

CONTRACTOR MUST BE HMRC SC CLEARED (active) or SC CLEARED (active) from another governing body.

Location:

Telford, Hybrid - 2 days in the office

Duration: 6 months contract

MUST BE PAYE THROUGH UMBRELLA

Description:

Purpose of the Role:
To design, build, and optimise data pipelines and integration processes required for migrating SAS estate (including SAS 9.4 and Viya 3.5 components) to SAS Viya 4 on DPS AWS. The Data Engineer will ensure data integrity, performance, and compliance throughout the migration and operational phases.

Key Responsibilities:

Data Pipeline Development:

Design and implement ETL processes to migrate data from Legacy SAS environments to SAS Viya 4.
Optimise data flows for performance and scalability in a cloud-native architecture.

Integration & Transformation:

Work with SAS developers to refactor existing jobs and ensure compatibility with Viya 4.
Implement data transformations and validation rules to maintain accuracy and consistency.

Automation & CI/CD:

Develop automated workflows for data ingestion and processing using Dev Ops tools (Jenkins, Git).
Integrate data pipelines into CI/CD frameworks for continuous delivery.

Data Quality & Governance:

Ensure compliance with data governance, security, and GDPR standards.
Implement monitoring and alerting for data quality and pipeline health.

Collaboration:

Work closely with architects, business analysts, and test teams to align data solutions with migration requirements.
Support UAT and production readiness activities by providing test data and validation scripts.

Required

Skills & Experience:

Building and managing ETL pipelines using tools such as SAS Data Integration, Pentaho, or Talend.
Working with SAS technologies (SAS 9.4, SAS Viya 3.x/4).

Proficiency in:

SQL, Python, and Scripting for data processing.
Cloud platforms (AWS) and containerisation (Docker, Kubernetes).

Familiarity with:

Data modelling, performance tuning, and large-scale data migration.
Agile delivery and Dev Ops practices.

Desirable

Qualifications:

Certifications in SAS, AWS Data Engineering, or equivalent.
Experience in government or regulated environments.
Knowledge of data virtualisation tools (eg, Denodo).