Data Engineer

Data Engineer

Posted 3 days ago by eTeam

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Negotiable
Undetermined
Hybrid
Telford, England, United Kingdom
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Agile Methodology Azure Kubernetes Service Business Intelligence Continuous Integration and Continuous Delivery Data Integration Data Modeling Data Quality Data Virtualisation Denodo DevOps Docker (Software) Extract Transform Load (ETL) Git (Version Control System) Jenkins JIRA Kubernetes SAS (Software) Scrum (Software Development) Security Clearance SQL (Programming Language) Talend Virtualisation

Summary: The Data/Operational Engineer role focuses on enhancing operational and technological processes for agent registration within the MMTAR initiative. The position involves developing data integration solutions and collaborating with cross-functional teams to deliver robust data services. The role requires a strong emphasis on Agile methodologies and DevOps practices while mentoring junior engineers. This position is hybrid and requires active SC clearance.

Key Responsibilities:

  • 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:

  • SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
  • Platform LSF, Jira, Platform Support.
  • GIT.
  • Strong expertise in ETL tools: Pentaho, Talend.
  • Experience with data virtualization using Denodo.
  • Proficiency in SAS for data analytics and reporting.
  • Oracle (good to have).
  • 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.

Salary (Rate): undetermined

City: Telford

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Title: Data/ Operational Engineer (Minerva MMTAR)

Location: Telford—Hybrid

Duration: 6 months

Active SC clearance

Role Description:

Project Overview: The Modernising, Mandating Tax Advisor Registration (MMTAR) initiative—formerly known as Improving Agent Registration (IAR)—aims to enhance Client’s operational and technological processes for registering agents who act on behalf of clients. The initial phase, targeted for delivery in April 2026, will cover:

  • Computerised Environment for Self-Assessment (CESA)
  • Company Tax (CoTAX)
  • Pay As You Earn (PAYE) for employer taxes.

This role will form part of a new scrum team within Minerva Platfrom to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.

Key Responsibilities:

  • 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:

  • SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
  • Platform LSF, Jira, Platform Support.
  • GIT.
  • Strong expertise in ETL tools: Pentaho, Talend.
  • Experience with data virtualization using Denodo.
  • Proficiency in SAS for data analytics and reporting.
  • Oracle (good to have).
  • 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 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.

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