SAS Data Engineer - SC Cleared

Whitehall Resources are currently looking for a SAS Data Engineer - SC Cleared based in Shropshire for an initial 6 month contract.

MUST HOLD ACTIVE SC CLEARANCE

INSIDE IR35

This project aims to unify RSDD APIs TXR
002 and ADE into a single service that will act as the central calculations data provider for all current and future consumers. Both services—TXR
002 and ADE—are functionally equivalent but serve different consumers. By consolidating them, the project seeks to reduce service complexity, eliminate confusion, and streamline change management efforts across impacted domains, contributing to overall cost savings.

This role will form part of a new scrum team within Minerva Platfrom to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.

• 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 Dev Ops 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.

• 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 Dev Ops tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
• Strong SQL and data modeling skills.
• Excellent problem-solving, communication, and leadership abilities.

• Proven track record of data projects and teams.
• Certifications in Agile/Scrum, Dev Ops, or relevant data technologies are a plus.