SAS Data Engineer (SAS 9.4, SAS Viya, Pentaho, Talend, Denodo) - MUST BE SC CLEARED - Telford/Remote

SAS Data Engineer (SAS 9.4, SAS Viya, Pentaho, Talend, Denodo) - MUST BE SC CLEARED - Telford and remote - 5 months+

One of our Blue Chip Clients is urgently looking for a SAS Data Engineer (SAS 9.4, SAS Viya, Pentaho, Talend, Denodo)

YOU MUST HAVE CURRENT ACTIVE SC CLEARANCE
ROLE IS PAYE VIA AN UMBRELLA (INSIDE IR35)
ROLE IS BASED IN TELFORD (2 DAYS PER WEEK) AND REMOTE THE REST

Please find some details below:

Description
Job Title: Data Engineer (Minerva MMTAR Functional Core Build)
Clearance Required: SC
Duration: 6 months
Location: Telford with 2 days/week in office

Job Description:

The initial phase, targeted for delivery in April 2026, will cover:
Computerized Environment for Self-Assessment (CESA)
Company Tax (CoTAX)
Pay As You Earn (PAYE) for employer taxes.

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 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 (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.