Azure Data Engineer: Cloud Modernization & BI Pipelines

FinXL IT Professional Services; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

FinXL IT Professional Services seeks an experienced Data Engineer to drive migration, modernisation, and restructuring of data assets in Melbourne. You will rewrite legacy reporting, rebuild Power BI dashboards, and update Power Automate workflows to align with a modern Azure Cloud environment.

You will design scalable data pipelines across Azure Data Factory, Synapse, and Databricks, ensuring governance and security across merged environments.

Qualifications

• Expert-level Power BI (DAX, Power Query, data modelling) and Power Automate proficiency.
• Hands-on experience with Azure data services: Data Factory, Synapse/SQL, Databricks.
• Strong SQL skills and scripting in Python or Scala.
• Experience with legacy data migration, schema redesign, and ETL optimisation.
• Familiarity with software engineering practices: source control (Git) and CI/CD for data deployments.

Responsibilities

• Architect, build and optimise scalable data pipelines to move workloads from legacy systems to Azure cloud.
• Re-engineer and enhance Power BI reports, data models and Power Automate workflows for modern cloud integration.
• Design and maintain analytics-ready data warehouses in Azure (Synapse, Databricks, Azure SQL).
• Ensure data governance, privacy and security controls across merged environments.
• Collaborate with Cloud and DevOps engineers to align deployments with Azure landing zone patterns and CD practices.

Skills

Power BI

Power Automate

SQL

Python/Scala

Tools

Azure Data Factory

Azure Synapse

Databricks

Azure SQL

Git

CI/CD for data

Job description

FinXL IT Professional Services seeks an experienced Data Engineer to drive migration, modernisation, and restructuring of data assets in Melbourne. You will rewrite legacy reporting, rebuild Power BI dashboards, and update Power Automate workflows to align with a modern Azure Cloud environment.

You will design scalable data pipelines across Azure Data Factory, Synapse, and Databricks, ensuring governance and security across merged environments.