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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