SAS Data Engineers - MUST HAVE SC CLEARANCE - Telford And Remote - 6 Months+

Octopus Computer Associates; Telford; Hybrid; GBP 75,000 - 98,000; Full time

Job summary

Octopus Computer Associates is seeking three SAS Data Engineers in Telford on a hybrid basis with two days in the office. The role requires active HMRC SC clearance or equivalent, and a 6+ month contract. The duties include designing and building data migrations from SAS environments to SAS Viya 4 on DPS AWS, with emphasis on data integrity and governance.

Must be PAYE through umbrella. The successful candidates will work with SAS technologies (SAS 9.4, SAS Viya), SQL, Python, and CI/CD tools

Qualifications

• 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.

Responsibilities

• 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.
• Work with SAS developers to refactor existing jobs for Viya 4 compatibility.
• Implement data transformations and validation rules to maintain accuracy and consistency.
• Develop automated workflows for data ingestion using DevOps tools (Jenkins, Git).
• Integrate data pipelines into CI/CD frameworks for continuous delivery.
• Ensure compliance with data governance, security, and GDPR standards.
• Provide test data and validation scripts to support UAT and production readiness.

Skills

ETL pipelines

SAS Data Integration

SQL

Python

Docker

Kubernetes

Cloud AWS

DevOps

Agile

Data governance

Tools

Pentaho

Talend

Jenkins

Git

SAS Viya

Docker

Kubernetes

Job description

SAS Data Engineers - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+/RATE: £470 per day inside IR35

One of our Blue Chip Clients is urgently looking for three SAS Data Engineers.

Please find some details below:

CONTRACTOR MUST BE HMRC SC CLEARED (active) or SC CLEARED (active) from another governing body.

Location: Telford, Hybrid - 2 days in the office

Duration: 6 months contract

MUST BE PAYE THROUGH UMBRELLA

Description:

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:

• 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).