Data Engineer-SAS

Data Engineer-SAS

Posted 4 days ago by eTeam

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Negotiable
Inside
Hybrid
United Kingdom
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Agile Methodology Azure Kubernetes Service Business Intelligence Continuous Integration and Continuous Delivery Data Integration Data Modeling Data Quality Data Virtualisation Denodo DevOps Docker (Software) Extract Transform Load (ETL) Git (Version Control System) Jenkins JIRA Kubernetes SAS (Software) Scrum (Software Development) Security Clearance SQL (Programming Language) Talend Virtualisation

Summary: The Data Engineer-SAS role involves designing, developing, and deploying data integration and transformation solutions, requiring SC clearance. The position is based in Telford with a hybrid working arrangement and focuses on collaboration with cross-functional teams to deliver data solutions. The role also emphasizes Agile methodologies and DevOps practices while mentoring junior engineers.

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): 537GBP/day

City: Telford

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Job Title: Data Engineer-SAS

Clearance required: SC is required, Must hold SC

Duration: 6 months

Location: Telford/Hybrid

Rate: 537GBP/day(Inside IR35)

Job description:

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.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

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