Data Engineer (Azure)

Our client, a leading government-owned water utilities provider, is seeking a talented Senior Data Engineer with expertise in metadata-driven frameworks and proficiency in utilising a range of tools and methodologies, particularly within the Microsoft Azure environment.

Key Responsibilities:

• Experience Creating Meta Data Driven Frameworks: Utilise your expertise to develop metadata-driven frameworks for data acquisition and business logic, ensuring efficient and scalable data solutions;
• Proficiency with Key Tools: Leverage your familiarity with tools such as Databricks, Purview, Data Factory, Cludein and Unity Catalogue to design and implement robust data solutions;
• Python Programming: Apply your Python programming skills to develop and enhance data pipelines and automation processes;
• Data Vault and Kimball Methodologies: Utilise your experience with data vault and Kimball data modelling methodologies to design and optimise data warehouse solutions; and
• Microsoft Azure Certification: Demonstrate your proficiency in Microsoft Azure by obtaining relevant certifications and leveraging Azure services for Data Engineering tasks.

Requirements:

• Extensive experience in creating metadata-driven frameworks for data acquisition and business logic;
• Ideally experienced with tools such as Databricks, Purview, Data Factory, Cludein and Unity Catalogue;
• Proficiency in Python programming;
• Experience with data vault and Kimball data modelling methodologies;
• Microsoft Azure certification (desirable);
• Business Intelligence experience;
• Demonstrated experience working with Azure technologies;
• Experience in Agile methodologies and delivering business value incrementally;
• Excellent communication and problem-solving skills; and
• Ability to work collaboratively in a team environment and effectively communicate technical concepts to non-technical stakeholders.

If you're a seasoned Data Engineer looking to make an impact in a dynamic and innovative environment, apply now to join our client's team and contribute to the advancement of data-driven solutions!

For more information, please call Tyler Dewar at u&u on 0455 668 ***, or email ***********@uandu.com quoting reference number 34849. Alternatively, to apply, please follow the link below.

Please submit your resume in Word format only.