SAS Data Engineer - SC Cleared
Posted 3 days ago by Whitehall Resources
Negotiable
Inside
Undetermined
Shropshire, England, United Kingdom
Summary: The SAS Data Engineer - SC Cleared role involves working on a project to unify RSDD APIs into a single service for data calculations, requiring active SC clearance. The position is part of a scrum team focused on developing and delivering data ingestion and risk management solutions within the SAS Platform. The role emphasizes collaboration, Agile methodologies, and the implementation of scalable data solutions. The engineer will also mentor junior staff and ensure data quality and governance standards are maintained.
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 modeling skills.
- Excellent problem-solving, communication, and leadership abilities.
Salary (Rate): undetermined
City: Shropshire
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
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 ***
Job Spec: This project aims to unify RSDD APIs TXR002 and ADE into a single service that will act as the central calculations data provider for all current and future consumers. Both services—TXR002 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.
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 modeling 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.