SAS Data Engineer

SAS DATA ENGINEER

• £460 per day via Umbrella
• Hybrid working – 2 days per week onsite in Telford
• Initial 6-month contract
• SC security clearance required

ABOUT THE CLIENT

A major UK public sector organisation is undertaking a significant cloud migration programme, moving its existing SAS estate to SAS Viya 4 within an AWS environment.

This is an opportunity for an experienced SAS Data Engineer to support the migration of legacy data platforms, building and optimising data pipelines while ensuring data quality, security and performance throughout the transition.

THE SAS DATA ENGINEER ROLE:

As a SAS Data Engineer, you will design, develop and optimise data pipelines and integration processes to support the migration of an existing SAS estate, including SAS 9.4 and Viya 3.5 components, to SAS Viya 4 on AWS.

Responsibilities will include:

• Designing and implementing ETL processes to migrate data from legacy SAS environments to SAS Viya 4.
• Optimising data pipelines for performance, scalability and cloud-native delivery Working with SAS developers to refactor existing jobs and ensure compatibility with Viya 4.
• Implementing data transformations and validation rules to maintain data accuracy and consistency.
• Automating data ingestion and processing workflows using DevOps tools, including Jenkins and Git.
• Integrating data pipelines into CI/CD frameworks to support continuous delivery.
• Monitoring data quality and pipeline health, implementing appropriate alerting and controls.
• Ensuring compliance with data governance, security and GDPR requirements.
• Collaborating with architects, business analysts and test teams to align data solutions with migration requirements.
• Supporting UAT and production readiness through test data preparation and validation scripts.

SAS DATA ENGINEER ESSENTIAL SKILLS

• Strong experience building and managing ETL pipelines, using tools such as SAS Data Integration, Pentaho or Talend.
• Experience working with SAS 9.4 and SAS Viya, ideally including Viya 3.x and Viya 4.
• Proficiency in SQL and Python, alongside scripting for data processing and transformation.
• Experience with AWS cloud environments and containerisation technologies such as Docker and Kubernetes.
• Understanding of data modelling, performance tuning and large-scale data migration.
• Familiarity with Agile delivery, DevOps practices and CI/CD pipelines.
• Experience implementing data validation, reconciliation and data quality controls.

Desirable skills:

• SAS, AWS Data Engineering or equivalent technical certifications.
• Experience working in government or other regulated environments.
• Knowledge of data virtualisation tools such as Denodo.

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