Integration Engineer

Essential Job 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.

Qualifications:

Required

• Bachelor's degree in computer science, information technology, or related field (or equivalent experience.)

• 3 - 5 + years of experience in building/operating data integrations

• Very strong SQL skills and a proven track record of delivering business value

• 3 - 5+ years of experience of cloud platforms (AWS, Azure, GCP). A deeper understanding/certification of AWS and Azure is considered a plus

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

• AWS certified DevOps engineer

• AWS Certified Developer

• MuleSoft Certified integration architect Level 1 (Essential),

• Microsoft Certified Azure Integration and Security.

• Proficient in RESTful APIs

• AWS, CDMP, MDM, DBA, SQL, SAP, TOGAF, API, CISSP, VCP (any relevant certification)

MuleSoft

• Understanding of MuleSoft's Anypoint Platform and its components

• Experience with designing and managing API-led connectivity solutions

• Knowledge of integration patterns and best practices

• Proficiency in network architecture and security concepts

AWS

• Experience provisioning, operating, and managing AWS environments

• Experience developing code in at least one high-level programming language

• Understanding of modern development and operations processes and methodologies

• Ability to automate the deployment and configuration of infrastructure using AWS services and tools

• Experience with continuous integration and continuous delivery (CI/CD) methodologies and tools

Microsoft Azure

• Fundamental understanding of Microsoft Azure and its services

• Experience with Azure services related to computing, networking, storage, and security

• Knowledge of general IT security principles and best practices

• Understanding of cloud integration patterns and Azure integration services such as Logic Apps, Service Bus, and API Management