Your New Company
Join a leading organisation in the chemicals and manufacturing sector, known for its innovation, sustainability, and commitment to operational excellence. This enterprise is undergoing a major digital transformation and is investing heavily in cloud-based data solutions to drive smarter decision-making across its operations.

Your New Role
As an Azure Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines and solutions on the Azure platform. You’ll work closely with cross-functional teams to ensure data is accessible, secure, and optimised for analytics and reporting.

Key Responsibilities

• Designing, developing, and maintaining scalable data pipelines using Azure Data Factory, Synapse Analytics, Apache Spark Pool, and other Azure services.

• Implementing reusable and modular data transformation logic to support multiple semantic models and reporting layers, including Power BI.

• Managing all aspects of data integration: ingestion, transformation, validation, and orchestration across ERP (SAP), SaaS, and custom applications.

• Analysing functional and non-functional requirements to assess data architecture, performance, and scalability.

• Coordinating development and deployment activities with analysts, subject-matter experts, and external vendors.

• Monitoring data pipeline health, performance metrics, and proactively addressing issues and anomalies.

• Documenting and communicating engineering outcomes, including data lineage, transformation logic, known limitations, and improvement opportunities.

• Leading the transition of Power BI assets to Microsoft Fabric, including assessment of existing architecture, migration strategy, and alignment with future-state data platform goals.

• Identifying high-value use cases for data reuse, automation, and optimisation, particularly for reporting and analytics.
  
  What You'll Need to Succeed

• At least 5 years’ experience in data engineering, with a strong background in designing and delivering scalable data solutions, preferably within cloud environments such as Microsoft Azure.

• Demonstrated experience with Azure Data Factory, Synapse Analytics, Apache Spark Pool, and Power BI.

• Experience in Python is essential

• Experience in planning and executing the transition of Power BI assets to Microsoft Fabric.

• Strong understanding of data governance, privacy, and compliance standards.

• Excellent communication and stakeholder management skills.
  
  What You'll Get in Return
  Opportunity to work on a high-impact transformation program.
  Flexible hybrid working arrangements.
  Supportive team culture and professional development opportunities.
  Competitive daily rate and long-term contract stability.
  
  What You Need to Do Now If you're ready to take the next step in your data engineering career, apply now or contact Lovlin at Lovlin.Rashmi@Hays.com.au for a confidential discussion.