SAS Data Engineers - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+
4 days ago
Telford
\n SAS Data Engineers - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+/RATE: £470 per day inside IR35 \n One of our Blue Chip Clients is urgently looking for three SAS Data Engineers. \n Please find some details below: \n CONTRACTOR MUST BE HMRC SC CLEARED (active) or SC CLEARED (active) from another governing body. \n Location: Telford, Hybrid - 2 days in the office \n Duration: 6 months contract \n MUST BE PAYE THROUGH UMBRELLA \n Description: \n Purpose of the Role: \n 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. \n Key Responsibilities: \n Data Pipeline Development: \n\n • Design and implement ETL processes to migrate data from Legacy SAS environments to SAS Viya 4.\n, • Optimise data flows for performance and scalability in a cloud-native architecture.\n\n Integration & Transformation: \n\n • Work with SAS developers to refactor existing jobs and ensure compatibility with Viya 4.\n, • Implement data transformations and validation rules to maintain accuracy and consistency.\n\n Automation & CI/CD: \n\n • Develop automated workflows for data ingestion and processing using DevOps tools (Jenkins, Git).\n, • Integrate data pipelines into CI/CD frameworks for continuous delivery.\n\n Data Quality & Governance: \n\n • Ensure compliance with data governance, security, and GDPR standards.\n, • Implement monitoring and alerting for data quality and pipeline health.\n\n Collaboration: \n\n • Work closely with architects, business analysts, and test teams to align data solutions with migration requirements.\n, • Support UAT and production readiness activities by providing test data and validation scripts.\n\n Required Skills & Experience: \n Strong experience in: \n\n • Building and managing ETL pipelines using tools such as SAS Data Integration, Pentaho, or Talend.\n, • Working with SAS technologies (SAS 9.4, SAS Viya 3.x/4).\n\n Proficiency in: \n\n • SQL, Python, and Scripting for data processing.\n, • Cloud platforms (AWS) and containerisation (Docker, Kubernetes).\n\n Familiarity with: \n\n • Data modelling, performance tuning, and large-scale data migration.\n, • Agile delivery and DevOps practices.\n\n Desirable Qualifications: \n\n • Certifications in SAS, AWS Data Engineering, or equivalent.\n, • Experience in government or regulated environments.\n, • Knowledge of data virtualisation tools (eg, Denodo).\n\n Please send CV for full details and immediate interviews. We are a preferred supplier to the client.