Negotiable
Inside
Onsite
Telford, UK
Summary: The role of Data Engineer (Minerva Data Acquisition) involves leading the design and implementation of data integration solutions for the Minerva Platform, which supports various tax-related initiatives. The position requires collaboration with cross-functional teams and adherence to Agile methodologies while ensuring data quality and governance. The Data Engineer will also mentor junior engineers and drive DevOps practices. This is a critical role within the Data Acquisition Team, focusing on enhancing the platform's capabilities.
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 (eg, Jenkins, Git, Docker, Kubernetes).
- Strong SQL and data modelling skills.
- Excellent problem-solving, communication, and leadership abilities.
Salary (Rate): £447/Day
City: Telford
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Data Engineer (Minerva Data Acquisition) Orange 1
Pay Rate: £447/Day- Inside IR35
Duration: 6 months
Location: Telford - 2 days on site
Job Description:
The Minerva Platform is one of Client's strategic SAS-based tools, designed to industrialize 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 Client 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 Client 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 (eg, Jenkins, Git, Docker, Kubernetes).
Strong SQL and data modelling skills.
Excellent problem-solving, communication, and leadership abilities.
Key Qualifications:
Proven track record of leading data projects and teams.
Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.