Data Engineer

Job Title: Data Engineer (Minerva Data Acquisition)

Rate: £430 per day inside ir35

Duration: 6 months

Location: Telford/hybrid (2 days on site)

SC Security clearance is required for this role

Job Description:

The Minerva Platform is one of HMRC's strategic SAS-based tools, designed to industrialise the identification and risking of tax-related activities. Currently deployed for Self Assessment (SA) and VAT Repayment Risking, Minerva is being further expanded to support a broader range of HMRC applications.

As part of this expansion, we are seeking a Data Engineer to join the Data Acquisition Team. This team plays a critical role in ingesting and integrating data from a wide variety of HMRC data sources into the Minerva Platform. The data ingested supports high-impact programmes of work such as Making Tax Digital (MTD) and Income Tax Self Assessment (ITSA), as well as new initiatives like Agent Registration Risking.

Key Responsibilities:

• Lead the 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:

• Strong expertise in ETL tools: Pentaho, Talend.
• Experience with data virtualization using Denodo.
• Proficiency in SAS for data analytics and reporting.
• 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.

If you are interested in this role or wish to apply, please feel free to submit your CV.