Azure Data Engineer: Cloud Modernization & BI Pipelines
On-site data engineer in Melbourne migrating and modernising legacy data assets to Azure Cloud: rewriting legacy reports, rebuilding Power BI dashboards and Power Automate workflows, and designing scalable pipelines with Azure Data Factory, Synapse and Databricks under governance and security requirements.
- Compensation
- Not disclosed
- Location
- Melbourne, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experienced data engineer
- Drive migration, modernisation and restructuring of data assets
- Rewrite legacy reporting
- Rebuild Power BI dashboards
- Update Power Automate workflows
- Design scalable data pipelines across Azure Data Factory, Synapse and Databricks
- Ensure data governance and security across merged environments
Full description
FinXL IT Professional Services is a leading IT consultancy that partners with clients to bridge the gap between business needs and technology capabilities. Since 2003, we've been delivering high-value ICT services across financial services, telecommunications, government, and enterprise sectors.
We are seeking an experienced Data Engineer to join our client's Cloud & Infrastructure transformation initiative in Melbourne. In this role, you will drive the migration, modernisation, and restructuring of data assets, with a primary focus on rewiring legacy reporting, rebuilding Power BI dashboards, and updating Power Automate workflows to align with a modern enterprise Azure Cloud environment.
Data Engineer
Overview
FinXL IT Professional Services is a leading IT consultancy that partners with clients to bridge the gap between business needs and technology capabilities. Since 2003, we've been delivering high-value ICT services across financial services, telecommunications, government, and enterprise sectors.
We are seeking an experienced Data Engineer to join our client's Cloud & Infrastructure transformation initiative in Melbourne. In this role, you will drive the migration, modernisation, and restructuring of data assets, with a primary focus on rewiring legacy reporting, rebuilding Power BI dashboards, and updating Power Automate workflows to align with a modern enterprise Azure Cloud environment.
Key Responsibilities
- Architect, build, and optimise scalable data pipelines to transition workloads and data models from legacy systems into Azure Cloud infrastructure.
- Re-engineer, optimise, and rebuild existing Power BI reports, data models, and Power Automate workflows to ensure seamless integration with modern cloud architecture.
- Design and maintain performant data warehouse structures and analytics-ready datasets in Azure (Azure Synapse, Databricks, and Azure SQL Database).
- Ensure all data integration processes adhere to strict enterprise data governance, privacy, and security controls across merged environments.
- Partner closely with Cloud and DevOps engineers to align data pipeline deployments with broader Azure landing zone patterns and continuous delivery practices.
Skills & Experience Required
- Expert-level proficiency in Power BI (DAX, Power Query, Data Modelling) and Power Automate.
- Hands-on experience across relevant Azure data services, including Azure Data Factory, Azure SQL/Synapse, and Databricks.
- Strong proficiency in SQL and scripting languages (Python or Scala).
- Proven background in legacy data migration, schema redesign, and ETL flow optimisation.
- Familiarity with software engineering best practices, source control (Git), and CI/CD for data deployments.