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, with a contract length of "unknown," offering a pay rate of "unknown." Key skills include ETL tools (Pentaho, Talend), Denodo, SAS, Agile, DevOps, and SQL. Security clearance is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Inside IR35
-
🔒 - Security
Yes
-
📍 - Location detailed
Telford, England, United Kingdom
-
🧠 - Skills detailed
#Automated Testing #Leadership #Data Quality #Agile #Security #Scala #Data Modeling #Talend #Scrum #Virtualization #GIT #"ETL (Extract #Transform #Load)" #Docker #BI (Business Intelligence) #SAS #Deployment #Data Integration #Data Engineering #SQL (Structured Query Language) #DevOps #Kubernetes #Data Pipeline #Jenkins
Role description
Data Engineer - SC Cleared Whitehall Resources currently require an experience Data Engineer to work with a key client. • • Please note 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.