Senior SAS Data Engineer

About the job you're considering We are looking for an experienced Senior SAS Engineer / Consultant to support the migration, modernisation and engineering of complex enterprise SAS solutions. The role will have a strong focus on migrating legacy SAS platforms, applications and workloads to cloud-hosted SAS Viya, alongside the design, engineering and delivery of complex SAS Risk and Fraud solutions on SAS Viya platforms. You will combine deep SAS technical expertise with modern cloud and engineering practices, working across the full delivery lifecycle from discovery and technical assessment through architecture, migration, build, testing, deployment and transition into service. Working closely with architects, engineers, analysts, testers and client stakeholders, you will help transform business-critical SAS estates while ensuring functional equivalence, data integrity, security, resilience, performance and operational continuity. Your role

Your role SAS Migration & Modernisation • Assess legacy SAS estates, applications, workloads, data flows, integrations and dependencies to determine appropriate migration and modernisation approaches. • Design and deliver migrations from legacy SAS platforms, including SAS 9.x, to cloud-hosted SAS Viya environments. • Analyse existing SAS code and applications to identify compatibility issues, remediation requirements and opportunities for optimisation or redesign. • Develop and implement migration tooling, automation, SAS programs, scripts and associated engineering solutions. • Define approaches for data migration, cleansing, validation, reconciliation, regression testing, parallel running and cutover. • Ensure migrated workloads maintain required levels of functionality, data integrity, security and performance. • Support migration planning, technical proving, proofs of concept and phased migration activities. • Identify where legacy solutions should be migrated as-is, remediated, re-engineered or replaced using modern SAS Viya capabilities. Risk & Fraud Solution Engineering • Design, build, configure and enhance complex SAS Risk, Fraud and financial crime solutions on SAS Viya. • Support solutions using technologies such as SAS Fraud Framework alongside wider SAS Viya capabilities. • Develop and integrate fraud detection, investigation, alerting, case-management and risk-processing capabilities. • Engineer secure and scalable data pipelines supporting high-volume risk and fraud processing, analytics and investigation workloads. • Integrate SAS solutions with enterprise data sources, APIs, downstream systems and external services. • Support the implementation and optimisation of business rules, analytical models, decisioning processes and investigative workflows. • Work with business, analytics and engineering teams to translate complex Risk, Fraud and Financial Crime requirements into production-ready technical solutions.

SAS Migration & Modernisation • Assess legacy SAS estates, applications, workloads, data flows, integrations and dependencies to determine appropriate migration and modernisation approaches. • Design and deliver migrations from legacy SAS platforms, including SAS 9.x, to cloud-hosted SAS Viya environments. • Analyse existing SAS code and applications to identify compatibility issues, remediation requirements and opportunities for optimisation or redesign. • Develop and implement migration tooling, automation, SAS programs, scripts and associated engineering solutions. • Define approaches for data migration, cleansing, validation, reconciliation, regression testing, parallel running and cutover. • Ensure migrated workloads maintain required levels of functionality, data integrity, security and performance. • Support migration planning, technical proving, proofs of concept and phased migration activities. • Identify where legacy solutions should be migrated as-is, remediated, re-engineered or replaced using modern SAS Viya capabilities. Risk & Fraud Solution Engineering • Design, build, configure and enhance complex SAS Risk, Fraud and financial crime solutions on SAS Viya. • Support solutions using technologies such as SAS Fraud Framework alongside wider SAS Viya capabilities. • Develop and integrate fraud detection, investigation, alerting, case-management and risk-processing capabilities. • Engineer secure and scalable data pipelines supporting high-volume risk and fraud processing, analytics and investigation workloads. • Integrate SAS solutions with enterprise data sources, APIs, downstream systems and external services. • Support the implementation and optimisation of business rules, analytical models, decisioning processes and investigative workflows. • Work with business, analytics and engineering teams to translate complex Risk, Fraud and Financial Crime requirements into production-ready technical solutions. Technical Engineering & Leadership • Design, configure and support SAS Viya platforms, services, applications and workloads within cloud-hosted environments. • Produce and review high-level designs, low-level designs, migration designs, implementation plans and operational documentation. • Lead technical investigation, troubleshooting, defect resolution and performance optimisation. • Ensure solutions meet enterprise requirements for security, resilience, availability, scalability and regulatory compliance. • Provide technical leadership and mentoring to SAS engineers and wider multidisciplinary teams. • Lead technical discovery and design workshops with client and internal stakeholders. • Deliver proofs of concept, technical demonstrations and solution presentations. • Collaborate across architecture, cloud, DevOps, engineering, testing, security and delivery teams. • Contribute to technical strategy, estimation, delivery planning, risk management and continuous improvement.

Risk & Fraud Solution Engineering • Design, build, configure and enhance complex SAS Risk, Fraud and financial crime solutions on SAS Viya. • Support solutions using technologies such as SAS Fraud Framework alongside wider SAS Viya capabilities. • Develop and integrate fraud detection, investigation, alerting, case-management and risk-processing capabilities. • Engineer secure and scalable data pipelines supporting high-volume risk and fraud processing, analytics and investigation workloads. • Integrate SAS solutions with enterprise data sources, APIs, downstream systems and external services. • Support the implementation and optimisation of business rules, analytical models, decisioning processes and investigative workflows. • Work with business, analytics and engineering teams to translate complex Risk, Fraud and Financial Crime requirements into production-ready technical solutions. Technical Engineering & Leadership • Design, configure and support SAS Viya platforms, services, applications and workloads within cloud-hosted environments. • Produce and review high-level designs, low-level designs, migration designs, implementation plans and operational documentation. • Lead technical investigation, troubleshooting, defect resolution and performance optimisation. • Ensure solutions meet enterprise requirements for security, resilience, availability, scalability and regulatory compliance. • Provide technical leadership and mentoring to SAS engineers and wider multidisciplinary teams. • Lead technical discovery and design workshops with client and internal stakeholders. • Deliver proofs of concept, technical demonstrations and solution presentations. • Collaborate across architecture, cloud, DevOps, engineering, testing, security and delivery teams. • Contribute to technical strategy, estimation, delivery planning, risk management and continuous improvement. Your skills and experience

Your skills and experience • Extensive commercial experience in SAS engineering, development, solution delivery and/or platform administration. • Strong hands-on SAS programming skills and a detailed understanding of enterprise SAS architectures. • Strong practical experience with SAS Viya and its core services and development capabilities. • Experience migrating or modernising legacy SAS solutions onto SAS Viya. • Experience delivering SAS solutions within cloud or hybrid-cloud environments. • Strong SQL, ETL, data integration and data engineering capability. • Experience analysing and migrating complex SAS applications, programs, data pipelines and workloads. • Strong knowledge of migration disciplines including assessment, remediation, validation, reconciliation, regression testing and cutover. • Experience engineering complex Risk, Fraud, Financial Crime or analytical solutions. • Strong scripting and automation capability, ideally within Linux-based environments. • Strong understanding of security, authentication, authorisation and data-access controls within enterprise environments. • Experience integrating SAS with databases, APIs and wider enterprise systems. • Ability to produce clear, high-quality technical designs and implementation documentation. • Strong troubleshooting, analytical and problem-solving skills. • Experience taking technical ownership and leading complex areas of engineering delivery. • Strong client and stakeholder engagement skills, including technical workshops and requirements analysis. • Ability to communicate effectively with both engineering teams and senior stakeholders. Desirable Skills and Experience • Hands-on experience with SAS Fraud Framework. • Hands-on experience with SAS Visual Investigator, including investigation, alert and case-management solutions. • Experience with wider SAS Risk solutions, risk analytics or decisioning capabilities. • Experience migrating SAS 9.4 applications and workloads to SAS Viya. • Experience with SAS Viya 4 and Kubernetes/container-based architectures. • Experience deploying or operating SAS Viya within Microsoft Azure, AWS or Google Cloud Platform. • Practical knowledge of Kubernetes, containers, Git and CI/CD pipelines. • Experience with REST APIs, microservices and enterprise integration patterns. • Experience implementing automated testing and deployment approaches for SAS solutions. • Knowledge of technologies such as Talend, Informatica, SSIS or IBM DataStage. • Understanding of fraud detection, financial crime, intelligence, risk modelling, machine learning and AI. • Experience delivering highly available, business-critical solutions within government, financial services, defence or other regulated environments. • Experience developing proofs of concept, technical demonstrations and solution accelerators. • Experience supporting RFIs, RFPs, technical estimates and solution proposals.

• Extensive commercial experience in SAS engineering, development, solution delivery and/or platform administration. • Strong hands-on SAS programming skills and a detailed understanding of enterprise SAS architectures. • Strong practical experience with SAS Viya and its core services and development capabilities. • Experience migrating or modernising legacy SAS solutions onto SAS Viya. • Experience delivering SAS solutions within cloud or hybrid-cloud environments. • Strong SQL, ETL, data integration and data engineering capability. • Experience analysing and migrating complex SAS applications, programs, data pipelines and workloads. • Strong knowledge of migration disciplines including assessment, remediation, validation, reconciliation, regression testing and cutover. • Experience engineering complex Risk, Fraud, Financial Crime or analytical solutions. • Strong scripting and automation capability, ideally within Linux-based environments. • Strong understanding of security, authentication, authorisation and data-access controls within enterprise environments. • Experience integrating SAS with databases, APIs and wider enterprise systems. • Ability to produce clear, high-quality technical designs and implementation documentation. • Strong troubleshooting, analytical and problem-solving skills. • Experience taking technical ownership and leading complex areas of engineering delivery. • Strong client and stakeholder engagement skills, including technical workshops and requirements analysis. • Ability to communicate effectively with both engineering teams and senior stakeholders. Desirable Skills and Experience • Hands-on experience with SAS Fraud Framework. • Hands-on experience with SAS Visual Investigator, including investigation, alert and case-management solutions. • Experience with wider SAS Risk solutions, risk analytics or decisioning capabilities. • Experience migrating SAS 9.4 applications and workloads to SAS Viya. • Experience with SAS Viya 4 and Kubernetes/container-based architectures. • Experience deploying or operating SAS Viya within Microsoft Azure, AWS or Google Cloud Platform. • Practical knowledge of Kubernetes, containers, Git and CI/CD pipelines. • Experience with REST APIs, microservices and enterprise integration patterns. • Experience implementing automated testing and deployment approaches for SAS solutions. • Knowledge of technologies such as Talend, Informatica, SSIS or IBM DataStage. • Understanding of fraud detection, financial crime, intelligence, risk modelling, machine learning and AI. • Experience delivering highly available, business-critical solutions within government, financial services, defence or other regulated environments. • Experience developing proofs of concept, technical demonstrations and solution accelerators. • Experience supporting RFIs, RFPs, technical estimates and solution proposals. Your security clearance