Job Description
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.
Title: Data Visualisation Engineer
Clearance required: Must hold an Active SC Clearance
Location: Telford/Hybrid
6 months contract
Job description:
Purpose:
This project seeks to streamline that experience by delivering a single, automated registration journey that enables agents to sign up across all tax regimes. This unified process will also incorporate risk assessment.
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 (e.g., 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.
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.