SAS Data Engineer

Searchability NS&D; Telford; Ibrido; GBP 111.000 - 148.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

Descrizione del lavoro

Searchability NS&D is seeking an experienced SAS Data Engineer to support a major UK public sector cloud migration from SAS 9.4 and Viya 3.x to SAS Viya 4 on AWS. You will design, build and optimise data pipelines, ensure data quality, security and performance throughout the transition.

Responsibilities include ETL design, performance tuning, CI/CD integration, and collaboration with SAS developers, architects and QA teams.

Competenze

• Experience building and managing ETL pipelines with SAS Data Integration, Pentaho or Talend.
• Experience with SAS 9.4 and SAS Viya (Viya 3.x and 4).
• Proficient in SQL and Python; scripting for data processing.
• Experience in AWS cloud environments and containerisation (Docker, Kubernetes).
• Understanding of data modelling, performance tuning, large-scale data migration.
• Familiarity with Agile, DevOps, and CI/CD.
• Experience with data validation and data quality controls.
• SAS/AWS Data Engineering certifications or equivalent.
• Experience in government or regulated environments.
• Knowledge of Denodo data virtualization.

Mansioni

• Design, develop and optimise data pipelines to migrate SAS estate to Viya 4 on AWS.
• Design ETL processes to migrate data from legacy SAS to Viya 4.
• Optimize data pipelines for performance, scalability and cloud delivery.
• Refactor jobs for Viya 4 compatibility with SAS developers.
• Implement data transformations and validation rules for accuracy.
• Automate data ingestion and processing using Jenkins and Git.
• Integrate pipelines into CI/CD frameworks for continuous delivery.
• Monitor data quality and pipeline health with alerts and controls.
• Ensure governance, security and GDPR compliance.
• Collaborate with architects, business analysts and test teams.
• Support UAT and production readiness with test data prep.

Conoscenze

ETL pipelines

SQL proficiency

Python scripting

Agile delivery

DevOps practices

CI/CD pipelines

Data quality controls

Data governance

Data migration

Cloud AWS

Strumenti

SAS Data Integration

SAS 9.4

SAS Viya

Pentaho

Talend

Docker

Kubernetes

Denodo

Descrizione del lavoro

• Hybrid working – 2 days per week onsite in Telford
• Initial 6-month contract
• SC security clearance required

ABOUT THE CLIENT

A major UK public sector organisation is undertaking a significant cloud migration programme, moving its existing SAS estate to SAS Viya 4 within an AWS environment.

This is an opportunity for an experienced SAS Data Engineer to support the migration of legacy data platforms, building and optimising data pipelines while ensuring data quality, security and performance throughout the transition.

THE SAS DATA ENGINEER ROLE:

As a SAS Data Engineer, you will design, develop and optimise data pipelines and integration processes to support the migration of an existing SAS estate, including SAS 9.4 and Viya 3.5 components, to SAS Viya 4 on AWS.

Responsibilities will include:

• Designing and implementing ETL processes to migrate data from legacy SAS environments to SAS Viya 4.
• Optimising data pipelines for performance, scalability and cloud-native delivery
• Working with SAS developers to refactor existing jobs and ensure compatibility with Viya 4.
• Implementing data transformations and validation rules to maintain data accuracy and consistency.
• Automating data ingestion and processing workflows using DevOps tools, including Jenkins and Git.
• Integrating data pipelines into CI/CD frameworks to support continuous delivery.
• Monitoring data quality and pipeline health, implementing appropriate alerting and controls.
• Ensuring compliance with data governance, security and GDPR requirements.
• Collaborating with architects, business analysts and test teams to align data solutions with migration requirements.
• Supporting UAT and production readiness through test data preparation and validation scripts.

SAS DATA ENGINEER ESSENTIAL SKILLS

• Strong experience building and managing ETL pipelines, using tools such as SAS Data Integration, Pentaho or Talend.
• Experience working with SAS 9.4 and SAS Viya, ideally including Viya 3.x and Viya 4.
• Proficiency in SQL and Python, alongside scripting for data processing and transformation.
• Experience with AWS cloud environments and containerisation technologies such as Docker and Kubernetes.
• Understanding of data modelling, performance tuning and large-scale data migration.
• Familiarity with Agile delivery, DevOps practices and CI/CD pipelines.
• Experience implementing data validation, reconciliation and data quality controls.
• SAS, AWS Data Engineering or equivalent technical certifications.
• Experience working in government or other regulated environments.
• Knowledge of data virtualisation tools such as Denodo.