Data Engineer

Senior Data Engineer – SAS SC clearance is highly preferred Role Overview: We are seeking a Senior Data Engineer with strong SAS expertise to join a Scrum team delivering data ingestion, transformation, and analytics solutions within a strategic enterprise-scale platform. The platform integrates complex, high-volume data sources to enable advanced analytics, risk assessment, and operational decision-making. This role is ideal for candidates with hands-on experience in SAS 9.4 (DI) and SAS Studio. Experience with SAS Viya 4 and SAS RTENG is highly preferred but not mandatory. Key Responsibilities: • Design, build, and maintain data ingestion and transformation pipelines using SAS tools. • Integrate and consolidate data from multiple complex sources into enterprise analytics platforms. • Translate business requirements into robust, scalable, and high-performing data solutions. • Apply data quality, governance, and security best practices across all pipelines. • Optimise workflows for performance and reliability. • Troubleshoot complex data issues and provide sustainable solutions. • Collaborate with cross-functional teams and mentor junior engineers. • Support Agile/Scrum delivery, ensuring timely sprint delivery and continuous improvement. Skills and Experience: • Extensive hands-on experience with SAS 9.4 (DI) and SAS Studio. • Experience with SAS Viya 4 and SAS RTENG is highly preferred. • Strong SQL and data modelling skills. • Proven experience building data pipelines in enterprise-scale environments with high-volume, complex datasets. • Knowledge of ETL tools (Pentaho, Talend) and data virtualisation (Denodo) is desirable. • Exposure to DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) is advantageous. • Experience with Oracle is a plus. • Strong analytical, problem-solving, communication, and leadership abilities. • Experience working within Agile/Scrum delivery frameworks.