APM Group

Data Engineer

Brisbane, QLD, Australia

Live, first seen by us 22 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI.

Design, build and support data solutions on Microsoft Fabric (Lakehouse, Warehouse, Data Factory)
Develop batch and near real-time pipelines from apps, APIs, databases and SaaS sources
Create data transformations using SQL, Python and PySpark
Implement Medallion Architecture across Bronze, Silver and Gold layers
Support Power BI datasets, dashboards and reporting solutions

From the employer’s posting

As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable.

Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models

Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage

Create data transformations using SQL, Python and PySpark

Implement Medallion Architecture across Bronze, Silver and Gold data layers

Support the development and optimisation of Power BI datasets, dashboards and reporting solutions

What you’ll bring

All qualifications

Core experience

Experience working with Microsoft Fabric and modern cloud-based data platforms
Experience building and supporting data pipelines and integration solutions
Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory
Knowledge of Lakehouse, data warehousing and analytics concepts
Knowledge of database performance tuning, monitoring and optimisation
Experience using Python and/or PySpark for data transformation and automation

Qualification wording

Experience working with Microsoft Fabric and modern cloud-based data platforms

Experience building and supporting data pipelines and integration solutions

Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory

Knowledge of Lakehouse, data warehousing and analytics concepts

Knowledge of database performance tuning, monitoring and optimisation

Experience using Python and/or PySpark for data transformation and automation

Apply at APM Group

Posting record

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Status in our records: Live
First seen by us: Oct 13, 202622 days ago
Recorded sightings: 138
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 22

Similar jobs usually come down between day 6 and day 54.

From 10,764 similar postings that came down. Coming down is not always a hire.

APM Group is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
40% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Power BI
SQL Server
PySpark

Where the posting names them

- Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage - Create data transformations using SQL, Python and PySpark - Implement Medallion Architecture across Bronze, Silver and Gold data layers

- Knowledge of Lakehouse, data warehousing and analytics concepts - Experience using Python and/or PySpark for data transformation and automation - Exposure to Power BI, semantic models, DAX and reporting solutions

- Experience working with Microsoft Fabric and modern cloud-based data platforms - Strong skills in SQL and data modelling - Experience building and supporting data pipelines and integration solutions

Highly Regarded - Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory - Exposure to enterprise data platform projects or cloud transformation initiatives

- Exposure to enterprise data platform projects or cloud transformation initiatives - Microsoft Data, Azure or Fabric certifications - Knowledge of database performance tuning, monitoring and optimisation

About the Role As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable. Key responsibilities include:

- Implement Medallion Architecture across Bronze, Silver and Gold data layers - Support the development and optimisation of Power BI datasets, dashboards and reporting solutions - Monitor and improve data quality, performance, reliability and security

- Experience using Python and/or PySpark for data transformation and automation - Exposure to Power BI, semantic models, DAX and reporting solutions - Understanding of data governance, security, access controls and compliance requirements

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Has APM Group posted this job before?

Yes. We’ve followed 3 other Data Engineer jobs there since October 2026. All 3 are still up.

MelbourneStill up after 23 days, first seen Oct 13
North SydneyStill up after 23 days, first seen Oct 13
PerthStill up after 23 days, first seen Oct 13
This jobUp 23 days so far, first seen Oct 13

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

Build the Data Foundations That Drive Better Decisions

We're seeking a Data Engineer to join our growing data team and help deliver modern, scalable and secure enterprise data solutions. You'll play a key role in building and supporting our Microsoft Fabric environment, enabling reliable reporting, analytics and data-driven decision-making across the organisation.

Working alongside senior engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights.

About the Role

As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable.

Key responsibilities include:

Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models
Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage
Create data transformations using SQL, Python and PySpark
Implement Medallion Architecture across Bronze, Silver and Gold data layers
Support the development and optimisation of Power BI datasets, dashboards and reporting solutions
Monitor and improve data quality, performance, reliability and security
Maintain data lineage, documentation, mappings, runbooks and technical standards
Assist with data platform modernisation, migration and continuous improvement initiatives
Provide operational support, troubleshooting and root cause analysis for data platform issues
Collaborate with business stakeholders to translate requirements into practical data solutions

About You

We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes.

Essential Experience

Experience working with Microsoft Fabric and modern cloud-based data platforms
Strong skills in SQL and data modelling
Experience building and supporting data pipelines and integration solutions
Knowledge of Lakehouse, data warehousing and analytics concepts
Experience using Python and/or PySpark for data transformation and automation
Exposure to Power BI, semantic models, DAX and reporting solutions
Understanding of data governance, security, access controls and compliance requirements
Strong analytical, troubleshooting and problem-solving skills
Ability to manage multiple priorities and work effectively within project and operational environments

Highly Regarded

Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory
Exposure to enterprise data platform projects or cloud transformation initiatives
Microsoft Data, Azure or Fabric certifications
Knowledge of database performance tuning, monitoring and optimisation
Experience with automation and Infrastructure-as-Code practices

What You'll Bring

Strong communication and stakeholder engagement skills
A collaborative approach and willingness to learn
Attention to detail and commitment to quality
Strong documentation and organisational skills
Passion for data, analytics and continuous improvement

Why Join Us?

Work with leading Microsoft Fabric and cloud technologies
Be part of a modern data and analytics transformation journey
Hybrid and flexible work arrangements
Supportive and collaborative team environment
Opportunities to grow your technical expertise and career
Work on impactful projects that directly influence business outcomes

If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you.

Apply today and help shape the future of data and insights.

Company Description

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