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 54000 employees serving over 4500 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. 56000 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 UKs 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 Cant 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 transformation activities.

• Experience working with cloud-based data platforms and modern data architectures.

Skills Wed Like

• Experience with additional data integration and ETL technologies such as Talend SSIS Data Stage or Informatica.

• Knowledge of cloud platforms such as Microsoft Azure AWS or Google Cloud Platform.

Additional Requirements

• Candidates must be eligible to obtain and maintain SC clearance.

• Location:
  
  UK-based. Remote working is…