Senior Data Engineer

Jenny Barbour IT and Project Recruitment; City of Melbourne; On-site; AUD 140,000 - 180,000; Full time

Job summary

Jenny Barbour IT and Project Recruitment in Melbourne is seeking a Senior Data Engineer to design and deliver an enterprise data platform using Azure Databricks, SQL, DBT and Azure Data Factory. You will lead data architecture, build scalable pipelines and models, and establish foundations for analytics, reporting and future AI initiatives across the business.

You will partner with BI, Analytics, Data Science and Technology teams to ensure data is structured for business consumption, improve

Qualifications

• Strong experience with Azure Databricks, dbt and Kimball dimensional modelling is required.
• Design and deliver enterprise data platforms using Azure Databricks, SQL, DBT and Azure Data Factory.
• Lead data architecture and build scalable pipelines and models for analytics, reporting and AI initiatives.

Responsibilities

• Data ingestion, transformation, orchestration and data serving capabilities.
• Design, build and optimise scalable data pipelines with Azure Databricks, dbt and Azure Data Factory.
• Own and improve the enterprise data platform using modern Azure data technologies.
• Apply Kimball dimensional modelling to deliver trusted data solutions.
• Develop and support architectures including Lakehouse, Delta Lake and Medallion patterns.
• Build trusted data assets for reporting, analytics and AI initiatives.
• Support production data platforms with monitoring, troubleshooting and performance optimisation.
• Collaborate with BI, Analytics, Data Science and Tech teams to structure data for business use.
• Improve data quality, governance and engineering maturity.
• Translate business requirements into practical, high-performing data solutions.
• Engage stakeholders to influence technical direction and best practices.

Skills

Data architecture

ETL pipelines

Lakehouse architecture

Medallion architecture

Kimball dimensional modelling

Analytics & AI initiatives

Stakeholder engagement

Tools

Azure Databricks

dbt

Azure Data Factory

Delta Lake

Job description

• Join a quintessentially Australian brand
• Strong experience across Azure Databricks, dbt and Kimball dimensional modelling required

We are looking for a Senior Data Engineer to design and deliver our clients enterprise data platform using Azure Databricks, SQL, DBT and Azure Data Factory. You will lead data architecture, build scalable pipelines and models, and help establish the foundations for analytics, reporting and future AI initiatives across the business.

Key Skills & Responsibilities

• Data Engineering activities across data ingestion, transformation, orchestration and data serving capabilities.
• Design, build and optimise scalable data pipelines using Azure Databricks, dbt and Azure Data Factory.
• Own and continuously improve the enterprise data platform using modern Azure data technologies.
• Apply Kimball dimensional modelling principles to deliver trusted and scalable data solutions.
• Develop and support modern data architectures including Lakehouse, Delta Lake and Medallion architecture patterns.
• Experience building scalable ETL/data pipelines and dimensional data models for analytics and reporting
• Build trusted data assets that support business reporting, analytics and AI initiatives.
• Support production data platforms through monitoring, troubleshooting, performance optimisation and continuous improvement.
• Partner closely with BI, Analytics, Data Science and Technology teams to ensure data is structured for business consumption
• Improve data quality, governance and overall engineering maturity.
• Ability to translate business requirements into practical, high-performing data solutions.
• Strong stakeholder engagement skills and the ability to influence technical direction and best practice.

Thank you for taking the time to apply we truly appreciate your interest.