Data Engineer

Inside IR36 - Hybrid - Must have an active SC Clearance Key Responsibilities • Design, develop, and deploy data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS • Architect and implement scalable data pipelines and services to support Business Intelligence and analytics platforms • Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver reliable data solutions • Promote Agile and Scrum methodologies, ensuring timely sprint delivery and continuous improvement • Drive DevOps practices including CI/CD, automated testing, and deployment of data services • Mentor and support junior engineers, encouraging technical excellence and innovation • Ensure data quality, governance, and security standards are consistently maintained • Troubleshoot and resolve complex data issues and performance bottlenecks Key Skills • SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI) • Platform LSF, Jira, platform support • Git • Strong experience with ETL tools such as Pentaho and Talend • Experience with data virtualisation using Denodo • Proficiency in SAS for data analytics and reporting • Oracle (desirable) • Solid understanding of Agile and Scrum frameworks • Hands-on experience with DevOps tools and practices (eg, Jenkins, Docker, Kubernetes) • Strong SQL and data modelling skills • Excellent problem-solving, communication, and leadership abilities • SC clearance Key Qualifications • Proven track record delivering data projects and leading teams • Certifications in Agile/Scrum, DevOps, or relevant data technologies are advantageous