• Identify business problems, articulate objectives and success measures, and translate requirements into current/future state solutions and analytical tools that demonstrate realizable benefits
• Elicit requirements, design, build and deploy advanced models and analytical solutions
• Be responsible for the architectural approach and vision for all technical components of the solution and leadership of the technical teams.
• Develop practices and routines to support data science and automation of analytical based assets into business processes
• Define approaches and methodologies with specialization and demonstrates expert knowledge in support of project delivery and sales
• Be responsible for the quality and delivery of technical deliverables and leading overall projects or critical work streams
• Be an expert in best practices for the design and build of data models and data pipelines
• Create an exceptional client experience by understanding their expectations, seeking feedback, and engaging around value delivered
  
  

• Data Modeling & Architecture - Design and implement efficient data lake and data warehouse architectures using Azure Data Lake Storage Gen2, Synapse Analytics, or SQL Database.
• Create and maintain star/snowflake schemas, partitioning strategies, and metadata models. Design & Build Scalable Data Pipelines
• Develop robust data ingestion and transformation pipelines using Azure Data Factory, Azure Synapse Pipelines, or Databricks. ETL/ELT Development - Build and maintain ETL/ELT pipelines for structured and unstructured data.
• Leverage tools like Azure Data Factory, Databricks, or Synapse Mapping Data Flows. Power BI Development & Optimization - Design and develop interactive and scalable Power BI reports and dashboards.
• Build semantic models using Power BI Desktop with strong DAX and Power Query skills.
• Optimize dataset performance and implement row-level security where needed.
• Publish, schedule, and monitor datasets in Power BI Service, integrating with Azure datasets where applicable. Performance Optimization - Tune and optimize SQL queries and pipeline performance. Implement cost-efficient strategies for data movement and storage. DevOps & CI/CD for Data Pipelines - Implement CI/CD pipelines using Azure DevOps for data deployments. Manage ARM templates, Bicep, or Terraform for infrastructure provisioning Mentoring & Technical Leadership - Provide guidance to junior data engineers.
  
  

• Exciting Work: We're leaders in Intelligent Automation, Salesforce, Data & AI, Cloud, ServiceNow, and more—partnering with Australia's biggest brands.
• Supportive Team: Join a dynamic, friendly culture where we solve problems together and celebrate success.
• Career Growth: Access training, mentorship, and cutting-edge tech to fuel your ambitions.
• Inclusive & Forward-Thinking: We welcome diverse perspectives and encourage applicants from all backgrounds—even if you don't meet every criterion.
  
  

Please refer to job description.