Data Engineer

Senior Data Engineer – SAS

SC clearance is highly preferred

Role Overview:

We are seeking a Senior Data Engineer with strong SAS expertise to join a Scrum team delivering data ingestion, transformation, and analytics solutions within a strategic enterprise-scale platform. The platform integrates complex, high-volume data sources to enable advanced analytics, risk assessment, and operational decision-making.

This role is ideal for candidates with hands-on experience in SAS 9.4 (DI) and SAS Studio. Experience with SAS Viya 4 and SAS RTENG is highly preferred but not mandatory.

Key Responsibilities:

• Design, build, and maintain data ingestion and transformation pipelines using SAS tools.
• Integrate and consolidate data from multiple complex sources into enterprise analytics platforms.
• Translate business requirements into robust, scalable, and high-performing data solutions.
• Apply data quality, governance, and security best practices across all pipelines.
• Optimise workflows for performance and reliability.
• Troubleshoot complex data issues and provide sustainable solutions.
• Collaborate with cross-functional teams and mentor junior engineers.
• Support Agile/Scrum delivery, ensuring timely sprint delivery and continuous improvement.

Skills and Experience:

• Extensive hands-on experience with SAS 9.4 (DI) and SAS Studio.
• Experience with SAS Viya 4 and SAS RTENG is highly preferred.
• Strong SQL and data modelling skills.
• Proven experience building data pipelines in enterprise-scale environments with high-volume, complex datasets.
• Knowledge of ETL tools (Pentaho, Talend) and data virtualisation (Denodo) is desirable.
• Exposure to DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) is advantageous.
• Experience with Oracle is a plus.
• Strong analytical, problem-solving, communication, and leadership abilities.
• Experience working within Agile/Scrum delivery frameworks.