Data Engineer- SC Cleared

Descriptionwe
Telford, UK
4 days ago
Apply on www.apply4u.co.uk
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Big Data Cloud Engineering Continuous Integration Data Governance Data Integrity Extract Transform Load (ETL) Data Migration Data Systems Data Virtualization DevOps Python (Programming Language)
+17 more
Pentaho Data Integration Performance Tuning SAS (Software) SQL Databases Data Streaming Talend Test Data Data Processing Scripting Data Ingestion Git Containerization Kubernetes AWS Data Analytics Data Pipelines Docker Jenkins

Job description

Job DescriptionWe 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.Role Title: Data Engineer Location: Telford, onsite Duration: 6 months contract Clearance Required- Active SCPurpose of the Role: To design, build, and optimise data pipelines and integration processes required for migrating SAS estate (including SAS 9.4 and Viya 3.5 components) to SAS Viya 4 on DPS AWS. The Data Engineer will ensure data integrity, performance, and compliance throughout the migration and operational phases.Key Responsibilities: Data Pipeline Development: Design and implement ETL processes to migrate data from Legacy SAS environments to SAS Viya 4. Optimise data flows for performance and scalability in a cloud-native architecture.Integration & Transformation: Work with SAS developers to refactor existing jobs and ensure compatibility with Viya 4. Implement data transformations and validation rules to

Requirements

maintain accuracy and consistency.Automation & CI/CD: Develop automated workflows for data ingestion and processing using DevOps tools (Jenkins, Git). Integrate data pipelines into CI/CD frameworks for continuous delivery.Data Quality & Governance: Ensure compliance with data governance, security, and GDPR standards. Implement monitoring and alerting for data quality and pipeline health.Collaboration: Work closely with architects, business analysts, and test teams to align data solutions with migration requirements. Support UAT and production readiness activities by providing test data and validation scripts.Required Skills & Experience:Strong experience in: Building and managing ETL pipelines using tools such as SAS Data Integration, Pentaho, or Talend. Working with SAS technologies (SAS 9.4, SAS Viya 3.x/4).Proficiency in: SQL, Python, and Scripting for data processing. Cloud platforms (AWS) and containerisation (Docker, Kubernetes).Familiarity with: Data modelling, performance tuning, and large-scale data migration. Agile delivery and DevOps practices.Desirable Qualifications: Certifications in SAS, AWS Data Engineering, or equivalent. Experience in government or regulated environments. Knowledge of data virtualisation tools (eg, Denodo).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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.apply4u.co.uk
Prepare application

Good distractions

Loading talks and stories from around this role…