Data Engineer

Data Engineer

Posted 1 week ago by 1760448405

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£525 Per day
Inside
Hybrid
Telford, Shropshire, West Midlands, England
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Agile Methodology Azure Kubernetes Service Continuous Integration and Continuous Delivery Data Engineering Data Governance Data Ingestion Data Integration Denodo DevOps Docker (Software) Git (Version Control System) JIRA Kubernetes Management Oracle Databases SAS (Software) Scrum (Software Development) Sprint Planning SQL (Programming Language) Stakeholder Management Talend Visual Analytics

Summary: The role of Data Engineer involves joining a Scrum team to develop and deploy data ingestion and risking capabilities within the SAS Platform for a government data initiative. The position requires expertise in data integration, transformation, and governance, while also mentoring junior engineers and driving Agile methodologies. The successful candidate will work with a variety of tools and technologies to ensure high-quality data solutions. This is a unique opportunity to contribute to a mission-critical project that integrates multiple data sources and advanced risk modeling.

Key Responsibilities:

  • Design, develop, and deploy data integration and transformation pipelines using Pentaho, Talend, Denodo, and SAS.
  • Architect scalable data solutions to support analytics and BI use cases across the SAS platform.
  • Collaborate with data scientists, analysts, architects, and stakeholders to define technical requirements and deliver high-quality outcomes.
  • Drive Agile/Scrum methodologies, supporting sprint planning, delivery, and retrospectives.
  • Implement DevOps best practices for CI/CD pipelines, automated testing, and deployment.
  • Mentor junior engineers and contribute to a culture of continuous learning and innovation.
  • Ensure data governance, quality, and security standards are embedded in all solutions.
  • Troubleshoot and optimise data pipelines, addressing performance bottlenecks and system issues.

Key Skills:

  • SAS 9.4, SAS Viya 3.x (including SAS Studio, Visual Analytics, Visual Investigator)
  • ETL Tools: Pentaho, Talend
  • Data Virtualisation: Denodo
  • Version Control & CI/CD: GIT, Jenkins
  • DevOps Tools: Docker, Kubernetes (preferred)
  • Task Management & Support Tools: Jira, LSF Platform
  • Strong SQL and data modelling experience
  • Knowledge of Oracle databases (desirable)
  • Excellent communication and problem-solving skills

Salary (Rate): £525 daily

City: Telford

Country: England

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Data Engineer (Minerva SA Reg Risking)

Day rate £525

Clearance Required: SC

Duration: 6 months

Telford with 2 days/week in the office

My client is looking for a Senior Data Engineer to join a new Scrum team working on a high-impact initiative within the clients preventative risking (PR) programme. This role will focus on the development and deployment of data ingestion and risking capabilities within the SAS Platform, including Intelligent Data Platform (IDP) components, as part of the Minerva Platform. This is a unique opportunity to contribute to a mission-critical government data platform that combines 20 data sources, advanced risk modelling using SAS Viya, and cutting-edge data engineering practices.

Key Responsibilities

  • Design, develop, and deploy data integration and transformation pipelines using Pentaho, Talend, Denodo, and SAS.
  • Architect scalable data solutions to support analytics and BI use cases across the SAS platform.
  • Collaborate with data scientists, analysts, architects, and stakeholders to define technical requirements and deliver high-quality outcomes.
  • Drive Agile/Scrum methodologies, supporting sprint planning, delivery, and retrospectives.
  • Implement DevOps best practices for CI/CD pipelines, automated testing, and deployment.
  • Mentor junior engineers and contribute to a culture of continuous learning and innovation.
  • Ensure data governance, quality, and security standards are embedded in all solutions.
  • Troubleshoot and optimise data pipelines, addressing performance bottlenecks and system issues.

Tech Stack & Skills Required

  • SAS 9.4, SAS Viya 3.x (including SAS Studio, Visual Analytics, Visual Investigator)
  • ETL Tools: Pentaho, Talend
  • Data Virtualisation: Denodo
  • Version Control & CI/CD: GIT, Jenkins
  • DevOps Tools: Docker, Kubernetes (preferred)
  • Task Management & Support Tools: Jira, LSF Platform
  • Strong SQL and data modelling experience
  • Knowledge of Oracle databases (desirable)
  • Excellent communication and problem-solving skills

Qualifications & Experience

  • Proven experience delivering enterprise data solutions across complex environments.
  • Strong track record in Agile development and data engineering best practices.
  • Experience working with multi-disciplinary teams in a secure, high-compliance environment.
  • Certifications in Agile/Scrum, DevOps, or relevant data technologies (highly desirable).
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