Whitehall Resources
SAS Data Engineer - SC Cleared
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SAS Data Engineer - SC Cleared, requiring 2 days onsite weekly in Telford. The contract is inside IR35, offering expertise in ETL tools, data virtualization, and DevOps practices, alongside strong leadership and SQL skills.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Yes
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📍 - Location detailed
Telford, England, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #Virtualization #Scala #Data Modeling #Scrum #Data Engineering #"ETL (Extract #Transform #Load)" #Agile #Data Quality #Jenkins #Leadership #BI (Business Intelligence) #GIT #SAS #Automated Testing #Security #Talend #Docker #Kubernetes #Deployment #SQL (Structured Query Language) #DevOps #Data Integration
Role description
SAS Data Engineer - SC Cleared
Whitehall Resources currently require an experienced Data Engineer to work with a key client based in Telford.
•
• Please note this role will require SC Clearance as well as 2 days onsite weekly
•
• This role falls INSIDE IR35
Key Responsibilities:
Lead the 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:
Strong expertise in ETL tools: Pentaho, Talend.
Experience with data virtualization using Denodo.
Proficiency in SAS for data analytics and reporting.
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 leading data projects and teams.
Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
SAS Data Engineer - SC Cleared
Whitehall Resources currently require an experienced Data Engineer to work with a key client based in Telford.
•
• Please note this role will require SC Clearance as well as 2 days onsite weekly
•
• This role falls INSIDE IR35
Key Responsibilities:
Lead the 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:
Strong expertise in ETL tools: Pentaho, Talend.
Experience with data virtualization using Denodo.
Proficiency in SAS for data analytics and reporting.
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 leading data projects and teams.
Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
