Location: Telford Job Type: Contract Industry: Digital Workspace Enterprise Applications Engineering Job reference: BBBH419062_1753697011 Posted: about 1 hour ago
Job Title: Visualisation Engineer - Minerva Platform
Duration: 6 Months
Location: Telford, Hybrid - 2 days per week on site
Clearance Required: Active SC Cleared (preferably HMRC)
Rate: £500 per day - PAYE via Umbrella only
Skills: SAS, SAS Viya, Jira, Engineering, Pentaho, Denodo, Talend, SAS Web Report Studio
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:
1. Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
2. Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms.
3. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions.
4. Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
5. Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
6. Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
7. Ensure data quality, governance, and security standards are upheld across all solutions.
8. Troubleshoot and resolve complex data issues and performance bottlenecks.
Key Skills:
9. SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
10. Platform LSF, Jira, Platform Support.
11. GIT.
12. Strong expertise in ETL tools: Pentaho, Talend.
13. Experience with data virtualisation using Denodo.
14. Proficiency in SAS for data analytics and reporting.
15. Oracle (good to have).
16. Solid understanding of Agile and Scrum frameworks.
17. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
18. Strong SQL and data modelling skills.
19. Excellent problem-solving, communication, and leadership abilities.
Key Qualifications:
20. Proven track record of data projects and teams.
21. Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.