Design and implement cutting-edge technology solutions, driving impactful decisions across their IT development and integration functions. About the Company: Looking for your next exciting opportunity in Data? Join a leading organisation at the forefront of sustainability Our client is seeking skilled Data Engineers to design and implement cutting-edge technology solutions, driving impactful decisions across their IT development and integration functions. About the Role: As Data Engineer, you will play a key role in crafting and implementing integration solutions on a modern Integration Platform. You’ll be responsible for ensuring compliance with governance standards while driving innovation and excellence. If you're a motivated professional with expertise in integration design and development, we want to hear from you Key Responsibilities: Foster a respectful, inclusive workplace in line with company values. Develop and maintain robust integration frameworks. Design scalable, reusable solutions wherever possible. Support the establishment and advancement of DevOps practices. Ensure solutions align with security, recoverability, and resilience principles. Maintain adherence to established integration governance standards. Implement proactive monitoring and alerting for production environments. Prioritise financial efficiency in design and implementation. Critical Experience: Hands-on experience in Azure environments, utilizing tools like Data Factory, Databricks, Logic Apps, Azure Functions, Message Queues, and Event Hub. Proficiency in implementing batch and real-time integration pipelines. Knowledge of Continuous Integration and Deployment (CI/CD) methodologies. Corporate experience with Python (PySpark). Demonstrated ability to deliver solutions based on defined integration patterns. Agile environment experience. Critical Knowledge: Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience. Strong understanding of integration architecture patterns and implementation methods. Expertise in data segregation, security architecture, and database design principles. Experience with Azure serverless infrastructure and data modeling techniques. Solid foundation in data engineering best practices. How to Apply: For a confidential discussion, reach out to Aimee Thompson and Gabrielle Baird at Frazer Tremble Executive via aimee frazertremble.com.au or gabrielle frazertremble.com.au Alternatively, click below to submit your application and take the next step in your career