At a Glance
- Tasks: Lead the migration of critical analytics platforms to the cloud and shape technical strategies.
- Company: Atos, a global leader in digital transformation and cybersecurity.
- Benefits: 25 days paid leave, private medical cover, pension scheme, and flexible benefits.
- Other info: Hybrid work model with opportunities for career growth and a commitment to diversity.
- Why this job: Make a real impact by guiding major cloud transformation projects with cutting-edge technology.
- Qualifications: Extensive SAS expertise and experience in data migration and cloud initiatives.
The predicted salary is between 72000 - 88000 £ per year.
Atos is 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.
The Data Analytics & AI (DAA) Practice represents a growing capability within Atos and comprises a talented team of analysts, developers, consultants, architects, and data specialists delivering solutions across the entire information management lifecycle. We help organisations unlock greater value from their data through data engineering, analytics, cloud transformation, and modern data platform solutions.
We are seeking an experienced SAS Subject Matter Expert (SME) to provide deep technical leadership and consultancy throughout the Discovery, Alpha, and Beta phases of a major cloud migration programme. You will be responsible for ensuring that SAS analytics workloads, processes, and data assets are successfully re-platformed onto a cloud-based data platform while maintaining data integrity, operational continuity, and business confidence.
Key Responsibilities:
- Provide expert guidance on SAS architecture, data flows, platform design, and cloud re-platforming approaches.
- Define and assure the SAS migration, validation, and reconciliation strategy alongside data engineering and architecture teams.
- Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles.
- Ensure SAS data integrity throughout migration, testing, validation, and dual-running activities.
- Mentor and support SAS Engineers and implementation teams throughout the delivery lifecycle.
Skills We Can't Do Without:
- Extensive experience as a SAS Subject Matter Expert, including SAS architecture, administration, and analytics platforms.
- Strong understanding of ETL processes, data integration, and data flow architecture.
- Proven experience leading data migration, reconciliation, and validation activities.
- Experience supporting cloud migration or re-platforming initiatives involving analytics and reporting workloads.
Skills We'd Like:
- Experience working with cloud data platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Knowledge of modern data engineering practices, data warehousing, and enterprise analytics environments.
Additional Requirements:
- Candidates must be eligible to obtain and maintain SC Clearance.
Location: Hybrid, with onsite attendance required 3 days per week at one of the following locations: Newcastle, Manchester, Blackpool.
25 days paid leave + National Holidays Pension Scheme – contributions matched up to 10% Private Medical Cover Income Protection Life Assurance Flex Benefits Program.
We are a care leaver friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated support mailbox. As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants.
SAS SME: Cloud Migration Lead (Hybrid UK) employer: Atos
Atos is an excellent employer for Senior Full-Stack Engineers, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor fellow engineers, all while working in a cutting-edge environment that values your contributions to scalable AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land SAS SME: Cloud Migration Lead (Hybrid UK)
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We think you need these skills to ace SAS SME: Cloud Migration Lead (Hybrid UK)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Atos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Atos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Atos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
