SAS Engineer [SAS Studio, SAS programming, ETL, data warehousing]

Key Skills: SAS Studio, SAS programming, ETL, data warehousing

We are hiring for SAS Engineer at London, UK - 2-3 days per week Onsite

Job Description

SAS Development & Engineering (SAS Senior Engineer JD)

Design, develop, and maintain SAS programs (Base SAS, SAS Macros, SQL, Data Step).

Build robust data pipelines for data extraction, transformation, validation, and loading.

Optimize SAS jobs for performance, scalability, and maintainability.

Work with large datasets (including SPDE, SAS datasets, external sources).

Testing, Validation & Quality Assurance

Perform thorough unit testing, system testing, and UAT support for SAS code.

Develop and maintain validation frameworks to ensure data accuracy.

Conduct impact assessment on code changes and data refresh cycles.

Document test cases, results, and coding standards.

Data Analysis & Insights

Analyse complex datasets to identify patterns, trends, anomalies, and insights.

Prepare analytical outputs, dashboards, or reports in SAS or other BI tools.

Partner with business teams to understand data needs and translate them into technical designs.

(Nice to Have) Pricing & Statistical Modelling Experience

Exposure to pricing frameworks, financial modelling, or actuarial concepts.

Understanding of regression models, forecasting techniques, or predictive models. Ability

Ability to partner with modelling teams to support data prep and model deployment.

Experience in pricing, modelling, actuarial data, or financial analytics.

Exposure to Python, R, or SQL-based analytical workload

Required Skills & Experience: 5-10+ years of hands-on SAS programming experience.

Advanced skills in:

• Base SAS
• SAS Macros
• SAS SQL
• Data Step programming
• SAS Enterprise Guide or SAS Studio
• Experience with large datasets, data warehousing concepts, and ETL workflows.
• Strong analytical and problem solving abilities.
• Experience with code testing, validation, and quality control.
• Solid understanding of data structures, metadata, and data governance.