SAS Engineer

Atosis the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society.

Atos also provides consulting and advisory services through its Atos Amplify brand. A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts. About Atos Group Atos Groupis a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems.

European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. About the Practice The Data Analytics & AI (DAA) Practice represents a growing capability within Atos and comprises a talented team of analysts, developers, consultants, and architects covering all aspects of the information management lifecycle, from data management and engineering through to business intelligence, analytics, and AI-powered solutions.

Our technology-agnostic approach enables us to deliver innovative solutions across a broad range of platforms and technologies, including Microsoft, SAP, Oracle, IBM, Informatica, Talend, Cloudera, Qlik, and other leading data technologies. We work with some of the UK's largest organisations, helping them unlock the value of their data and drive better business outcomes through modern data platforms and analytics capabilities.

Where Purpose Meets Career Work on large-scale cloud transformation programmes , helping customers modernise critical data platforms and services. Expand your technical expertise across SAS, cloud technologies, ETL development, data migration, and modern data engineering practices. Be part of a growing and collaborative data community , working alongside experienced architects, engineers, consultants, and analytics specialists. About the Role We are looking for a skilled SAS Engineer to join our growing Data Analytics & AI Practice.

In this role, you will support the migration of SAS workloads, data pipelines, and associated processes to modern cloud-based data platforms. Working closely with SAS Subject Matter Experts, architects, and engineering teams, you will design, build, configure, and optimise SAS migration solutions while ensuring data quality, integrity, and successful business outcomes. This is an excellent opportunity for an engineer with strong SAS and ETL experience who is passionate about cloud transformation and modern data solutions.

Key Responsibilities Build, configure, and implement SAS components and workloads on target cloud platforms. Develop and optimise SAS data flows, ETL processes, and migration scripts to support successful cloud migration activities. Execute data migration, validation, reconciliation, and cleansing activities to ensure data accuracy and integrity. Support testing, defect resolution, troubleshooting, and technical documentation throughout the migration lifecycle. Collaborate with SMEs, architects, and delivery teams to ensure successful delivery of migration milestones and project objectives.

Skills We Can't Do Without Strong experience in SAS engineering , development, and administration. Proven expertise in ETL development , data integration, and data pipeline implementation.

Experience with data migration, validation, reconciliation, and data quality processes . Scripting experience and the ability to automate migration and…