Data Engineer - SAS Viya & AWS | Active SC Required

Project overview

Data Engineer - SAS Viya & AWS | 3 Positions | Active SC Required

6-month contract | Telford - hybrid, 2 days onsite

Help deliver a major SAS migration into a modern AWS environment.

Synergize Consulting is recruiting three Data Engineers to support the migration of a SAS estate from SAS 9.4 and Viya 3.5 to SAS Viya 4 on AWS.

This is an opportunity to combine your data engineering expertise with cloud migration, automation and modern deployment practices. You'll build the pipelines that underpin the migration, working alongside SAS developers and architects to protect data integrity, improve performance and prepare services for production.

Your contract at a glance

What makes this opportunity stand out?

What you'll be doing

What you'll bring

Additional experience that would be valuable

Apply with your latest CV, availability and details of your SAS, AWS and active SC clearance experience.

• Duration: 6 months.
• Location: Telford, with 2 days per week in the office.
• Positions: 3.
• Clearance: You must hold active SC clearance
• A defined technical challenge: Help move an established SAS estate to Viya 4 on AWS.
• Engineering beyond migration: Improve pipeline performance, scalability, automation and monitoring.
• Collaborative delivery: Work directly with architects, SAS developers, business analysts and test specialists.
• Hands-on cloud exposure: Apply AWS, containerisation and CI/CD practices to complex data workloads.
• Designing and building ETL pipelines to migrate data from Legacy SAS environments to SAS Viya 4.
• Optimising data flows for performance and scalability within a cloud-native architecture.
• Working with SAS developers to refactor existing jobs for Viya 4 compatibility.
• Implementing transformations and validation rules to maintain data accuracy and consistency.
• Automating ingestion and processing workflows using Jenkins, Git and CI/CD frameworks.
• Building monitoring and alerting for data quality and pipeline health.
• Applying client data governance, security and GDPR requirements.
• Supporting UAT and production readiness with test data and validation scripts.
• Strong experience building and managing ETL pipelines, using tools such as SAS Data Integration, Pentaho or Talend.
• Hands-on experience with SAS 9.4 and SAS Viya 3.x/4.
• Proficiency in SQL, Python and Scripting for data processing.
• Experience with AWS and containerisation technologies such as Docker and Kubernetes.
• An understanding of data modelling, performance tuning and large-scale data migration.
• Familiarity with Agile delivery and DevOps practices.
• SAS or AWS Data Engineering certifications, or equivalent.
• Experience delivering within government or regulated environments.
• Knowledge of data virtualisation tools such as Denodo.

Project details

• Start: ASAP
• Remote: hybrid
• Location: Shropshire, United Kingdom, GB
• Languages: English