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# Data Engineer

- **Company:** Talent International
- **Location:** UK
- **Salary:** £117,000.0 - £122,200.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Migration, Data Virtualization, DevOps, Python (Programming Language), Pentaho Data Integration, Cloud Services, SAS (Software), Shell Script, SQL Databases, Talend, Data Processing, Data Ingestion, Git, Containerization, Kubernetes, AWS Data Analytics, Build Tools, Code Restructuring, Software Version Control, Data Pipelines, Docker, Service Stack, Jenkins
- **Published:** October 6, 2026
- **Apply:** https://www.totaljobs.com/job/data-engineer/talent-international-uk-ltd-job108083111

## About the Role

* SAS Expertise: Strong background working across legacy and modern SAS technology stacks (SAS 9.4, SAS Viya 3.x/4, SAS Data Integration Studio).
 * ETL and Data Engineering: Proven experience building and managing scalable ETL pipelines using SAS DI, Pentaho, Talend, or similar tools.
 * Cloud and Containers: Hands-on experience with AWS cloud services and containerized environments (Docker, Kubernetes).
 * Programming and Scripting: Strong proficiency in SQL, Python, and shell scripting for complex data processing.
 * DevOps Practices: Solid understanding of Agile delivery, version control (Git), and automated CI/CD build tools (Jenkins)., * Relevant certifications in SAS or AWS Data Engineering.
 * Prior experience delivering through a consultancy or within highly regulated / government environments.
 * Familiarity with data virtualization platforms (e.g., Denodo).

## Description

We are seeking an experienced Data Engineer to join a leading technology consultancy on a major enterprise cloud transformation project based in Telford., In this role, you will design, build, and optimize high-performance data pipelines to migrate a large-scale legacy SAS estate (including SAS 9.4 and Viya 3.5 components) to SAS Viya 4 on AWS. You will work closely with consultancy architects, platform engineers, and client delivery teams to ensure seamless data integration, automated pipeline delivery, and robust data governance., * Data Pipeline Development: Design and implement robust ETL processes to migrate data from legacy SAS environments to SAS Viya 4 on a cloud-native AWS platform.

 * Integration and Job Refactoring: Collaborate with SAS developers to refactor existing legacy jobs, ensuring full compatibility, scalability, and performance in Viya 4.
 * Automation and CI/CD: Build automated workflows for data ingestion and processing using modern DevOps tools (Jenkins, Git) integrated into continuous delivery pipelines.
 * Data Quality and Governance: Ensure all solutions strictly adhere to data governance, security, and GDPR standards, implementing automated monitoring and alerting for pipeline health.
 * Consultancy and Stakeholder Engagement: Work alongside client architects, business analysts, and test teams to align technical delivery with broader migration milestones and support UAT readiness.