Data Engineer

Data Integration Engineer - Hybrid (Telford) Day Rate: £513 (Inside IR35) Contract Length: 6 months Location: Hybrid - 2 days per week onsite in Telford Security Clearance:Active SC clearance required About the Role We're seeking an experienced Data Integration Engineer to join a new Scrum team within the Minerva Platform, supporting HMRC's Modernizing, Mandating Tax Advisor Registration (MMTAR) initiative. This project will deliver a unified, automated registration journey for tax agents across multiple regimes, incorporating risk assessment and advanced data processing. You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program. Key Responsibilities • Design, develop, and deploy data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. • Architect scalable data pipelines and services to support BI and analytics platforms. • Collaborate with cross-functional teams to define technical specifications and deliver robust solutions. • Champion Agile/Scrum methodologies and drive timely sprint delivery. • Implement DevOps practices for CI/CD, automated testing, and deployment. • Mentor junior engineers and foster technical excellence. • Ensure compliance with data quality, governance, and security standards. • Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills & Experience • Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). • Familiarity with Platform LSF, Jira, and GIT. • Hands-on experience with ETL tools: Pentaho, Talend. • Data virtualization experience with Denodo. • Proficiency in SQL and data modeling. • Knowledge of Oracle (nice to have). • Solid understanding of Agile/Scrum frameworks. • Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). • Excellent problem-solving and communication skills. • Active SC clearance is mandatory. Qualifications • Proven track record delivering complex data projects. • Certifications in Agile/Scrum, DevOps, or relevant data technologies are desirable.