Data Engineer

The Country Care Group; City of Melbourne; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Discounted health insurance

Employee discounts

Job summary

The Country Care Group is seeking a data engineer to own end-to-end data pipelines using Microsoft Fabric, and to build Bronze, Silver and Gold data layers.

You will develop and maintain Data Factory pipelines, Dataflows Gen2, notebooks, and dimensional models, ensuring reliable incremental loads and data quality.

3–5 years in data engineering with Fabric experience, strong SQL or PySpark, and the ability to work independently and communicate effectively with stakeholders.

Qualifications

• 3-5 years' experience in data engineering, including building and supporting production data pipelines.
• Hands-on Microsoft Fabric experience - essential.
• Strong SQL or PySpark / Spark SQL skills.
• Practical experience with Lakehouse architecture, Data Factory pipelines, Dataflows Gen2 and notebooks.
• Experience with Bronze, Silver and Gold medallion architecture and dimensional modelling.
• Experience implementing data quality checks, reconciliation and monitoring.
• Understanding of Git, Azure DevOps and deployment practices.

Responsibilities

• Own data ingestion from source systems into Microsoft Fabric.
• Build, schedule and maintain Fabric Data Factory pipelines, Dataflows Gen2 and notebooks.
• Develop Bronze, Silver and Gold medallion architecture.
• Build and maintain dimensional data models including conformed dimensions and fact tables.
• Develop reliable incremental loads, change capture and deletion handling.
• Monitor pipeline performance, identify failures and resolve issues.
• Implement data quality checks, reconciliation and monitoring.

Skills

Data engineering

Microsoft Fabric

SQL

PySpark

Data Factory

Dataflows Gen2

Dimensional modelling

Git/Azure DevOps

Independent worker

Stakeholder comms

Tools

Microsoft Fabric

Azure DevOps

Job description

Key responsibilities

Own data ingestion from Microsoft Dynamics 365 Business Central and other source systems into Microsoft Fabric

Build, schedule and maintain Fabric Data Factory pipelines, Dataflows Gen2 and notebooks

Develop and maintain Bronze, Silver and Gold medallion architecture

Build and maintain dimensional data models, including conformed dimensions and fact tables

Develop reliable incremental loads, change capture and deletion handling

Monitor pipeline performance, identify failures and resolve issues promptly

Implement data quality checks, reconciliation and monitoring to ensure data can be trusted

Work with the AI Solutions Engineer to deliver KPI datasets into the Gold layer

Support historical data migrations and backfills, including data associated with acquired businesses

Work closely with the ERP/Business Central team as CCG progresses its Business Central optimisation and consolidation program

About you

3-5 years' experience in data engineering, including building and supporting production data pipelines

Hands-on Microsoft Fabric experience - essential

Strong SQL or PySpark / Spark SQL skills

Practical experience with Lakehouse architecture, Data Factory pipelines, Dataflows Gen2 and notebooks

Experience with Bronze, Silver and Gold medallion architecture and dimensional modelling

Experience implementing data quality checks, reconciliation and monitoring

Understanding of Git, Azure DevOps and deployment practices

The ability to work independently, manage priorities and take ownership of outcomes

Strong communication skills and the ability to explain technical data issues to non-technical stakeholders

About us

Country Care Group (CCG) is an Australian family-owned business with more than 700 employees and operations spanning retail, wholesale, healthcare, supply chain and assistive technology. Our values of Integrity, Respect, Leadership, Passion and Accountability underpin the way we work. Our clear purpose is empowering people to improve their everyday lives by increasing mobility and independence with great products and services.

A key technical role within a growing data and technology function

Opportunity to work extensively with Microsoft Fabric and Business Central

Exposure to AI, data analytics and enterprise technology projects

A varied role with genuine ownership and autonomy

Career development and training opportunities

Supportive and collaborative working environment

Access to employee benefits including discounted health insurance and partner discounts