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

- **Company:** GIOS Technology
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £114,400.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Unit Testing, Big Data, Data Governance, Extract Transform Load (ETL), Data Mining, Data Structures, Data Warehousing, Python (Programming Language), Metadata, SAS (Software), SQL Databases, System Testing, Macros, Code Testing, Machine Learning Operations, Software Coding, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-80A93255470638E3C3/

## About the Role

Applicants must be eligible to work in the specified location

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

## Description

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