Data Engineer

We are looking for Data Engineer at Telford, UK – 2 days per week Onsite Security Clearance: Active SC Clearance is must have Job Description: • As part of this expansion, we are seeking a Software Data Engineer to support expansion of the 2 Scrum Teams Live Support and Data Acquisition Team. These teams play a critical role in running the Minerva Platform and the ingesting and integrating data from a wide variety of OUR CLIENT data sources into the Minerva Platform. • The data ingested supports high-impact programmes of work such as Making Tax Digital (MTD) and Income Tax Self-Assessment (ITSA), as well as new initiatives like Agent Registration Risking. • This role is pivotal in ensuring the platform continues to evolve as a robust, scalable, and secure data environment that underpins OUR CLIENT’s strategic decision-making and risk analysis capabilities. Key Responsibilities: • Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. • Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms. • Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions. • Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement. • Drive DevOps practices for CI/CD, automated testing, and deployment of data services. • Mentor and guide junior engineers, fostering a culture of technical excellence and innovation. • Ensure data quality, governance, and security standards are upheld across all solutions. • 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 expertise in ETL tools: Pentaho, Talend. • Experience with data virtualization using Denodo. • Proficiency in SAS for data analytics and reporting. • Oracle (good to have). • Solid understanding of Agile and Scrum frameworks. • Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). • Strong SQL and data modelling skills. • Excellent problem-solving, communication, and leadership abilities. Key Qualifications: • Proven track record of data projects and teams. • Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.