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