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 Dev Ops 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 Dev Ops 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