SAS Data Engineer - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+

SAS Data Engineer - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+/RATE: £525 per day inside IR35

One of our Blue Chip Clients is urgently looking for a SAS Data Engineer

YOU MUST HAVE CURRENT ACTIVE SC CLEARANCE FOR THIS ROLE

For this role you will need to be onsite in Telford 2 days per week.

Please find dome details below:

Job Description:
Project Overview:
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 Platform 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 Pent aho, Den odo, Tal end, 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: Pent aho, Tal end.
Experience with data virtualization using Den odo.
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 (eg, 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.

Please send CV for full details and immediate interviews. We are a preferred supplier to the client.