Data Engineer

Data Integration Engineer - Hybrid (Telford)

Day Rate: £513 (Inside IR35)
Contract Length: 6 months
Location: Hybrid - 2 days per week onsite in Telford
Security Clearance: Active SC clearance required

About the Role

We're seeking an experienced Data Integration Engineer to join a new Scrum team within the Minerva Platform, supporting HMRC's Modernizing, Mandating Tax Advisor Registration (MMTAR) initiative. This project will deliver a unified, automated registration journey for tax agents across multiple regimes, incorporating risk assessment and advanced data processing.

You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program.

Key Responsibilities

* Design, develop, and deploy data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
* Architect scalable data pipelines and services to support BI and analytics platforms.
* Collaborate with cross-functional teams to define technical specifications and deliver robust solutions.
* Champion Agile/Scrum methodologies and drive timely sprint delivery.
* Implement DevOps practices for CI/CD, automated testing, and deployment.
* Mentor junior engineers and foster technical excellence.
* Ensure compliance with data quality, governance, and security standards.
* Troubleshoot and resolve complex data issues and performance bottlenecks.

Key Skills & Experience

* Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI).
* Familiarity with Platform LSF, Jira, and GIT.
* Hands-on experience with ETL tools: Pentaho, Talend.
* Data virtualization experience with Denodo.
* Proficiency in SQL and data modeling.
* Knowledge of Oracle (nice to have).
* Solid understanding of Agile/Scrum frameworks.
* Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes).
* Excellent problem-solving and communication skills.
* Active SC clearance is mandatory.

Qualifications

* Proven track record delivering complex data projects.
* Certifications in Agile/Scrum, DevOps, or relevant data technologies are desirable.