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Generalist graduate data/AI title and metro hiring increase applicant competition but brand is not top-tier.
Core data engineering and Python skills transfer across industries, so background sensitivity is low.
Mandatory degree and programming skills filter candidates, but few rigid certifications or years requirements.
Contribute to developing and maintaining AI and data engineering solutions including data pipelines, backend services, and platform features used across the global business.
Support AI system design, evaluation, optimisation, and production deployment tasks within Microsoft Azure environment.
Assist in monitoring, troubleshooting, release support, and continuous improvement of AI and data engineering systems working collaboratively with Digital, IT, Security, and business stakeholders.
Degree or master's degree (completed or completing by August 2027) in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related discipline.
Strong programming skills, ideally with Python experience.
Understanding of databases and data management concepts.
Work Experience Required: Not explicitly mentioned in the JD.
Has foundational knowledge and keen interest in AI technologies and their application in business environments within the Microsoft ecosystem.
Is comfortable working collaboratively across technical and business teams supporting cloud-based AI/data platforms.
Possesses curiosity and proactive approach towards continuous learning of software engineering, cloud technologies, data engineering, and AI systems.