Data Engineer

• Design, implement, and maintain robust data pipelines and architectures for analytics, machine learning, and AI workloads
• Work with business stakeholders, data scientists, and developers to transform requirements into scalable data solutions
• Contribute to client projects, taking responsibility for data and AI aspects of implementations
• Evaluate and integrate tools and technologies, optimising performance, scalability, and security
• Document solutions and processes
• Provide training to colleagues and end-users when needed
• Drive adoption and best practices for modern data platforms among customers and internally
• Advise the team on data engineering, AI, and MLOps

Explore Data Engineer – AI at EVIDI. Review requirements and application details.