Integration Engineer

Responsibilities :

• Data Integration Pipeline Development : Design, build, and optimize data integration pipelines using appropriate tools. Ensure data quality, reliability, and scalability.
• Mentorship and Leadership : Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.
• Data Strategy Contribution : Contribute to the organization’s data strategy by identifying opportunities for data-driven insights and improvements.
• Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.
• Design, develop and implement robust and scalable data analytics using modern technologies.
• Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, DataX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.
• Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible.
• Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.
• Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the FoundationX backlog.
• Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization.
• Stay-up to date on the latest trends and technologies in data engineering and cloud platforms.

Requirements

Qualifications : Required

Any relevant cloud-based integration certification at foundational level. For example :

MuleSoft

AWS

Microsoft Azure

Preferred