Data Engineer- SC Cleared

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.

Role Title: Data Engineer
Location: Telford, onsite
Duration: 6 months contract
Clearance Required- Active SC

Purpose 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 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.