Job Description

Operational / Data Engineer - SC cleared
Operational / Data Engineer - SC cleared

The location of the role is Telford (hybrid working).
The duration of the contract is 6 months.
The pay rate on offer is 500 per day (via Umbrella agency).

Project Overview
The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations.

Currently, the system identifies approximately 200,000 fraudulent registrations out of 1 million, resulting in an estimated 51 million to 219 million in lost SA repayment claims for HMRC (based on 2021/2022 figures).
To address this, a proof of concept (POC) was developed using:

• SAS Enterprise Guide for table creation,
• SAS Studio V and SAS RTENG to build the SA registration network,
• SAS Viya 3.5 tools for risk assessment of new SA registrations.

The POC leveraged data from 20 different sources, most of which were already housed in the Minerva Oracle database. Previously, some data had to be transferred manually. However, the automated file transfers described in this Solution Design Document (SDD) will now move that data to the SAS platform using approved Enterprise Architecture (EA) integration patterns, with the initial phase, targeted for delivery in April 2026.

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 accountabilities of the role

• 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 skill and experience

• SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
• Platform LSF, Jira, Platform Support.
• 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.

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