Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Melbourne, Victoria, AUS
Hybrid
Entry level
Healthtech • Professional Services • Social Impact
The Role
Build and support scalable enterprise data solutions using Microsoft Fabric, including pipelines, lakehouses, warehouses, semantic models, and Power BI reporting. Responsibilities include data ingestion, transformation, modeling, governance, security, monitoring, troubleshooting, documentation, and platform modernization. Collaborate with stakeholders and technical teams to deliver reliable analytics solutions.
Summary Generated by Built In
Company Description

 

 

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.

Skills Required

  • Experience working with Microsoft Fabric and modern cloud-based data platforms
  • Strong SQL and data modeling skills
  • 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 within project and operational environments
  • Strong communication and stakeholder engagement skills
  • Collaborative approach and willingness to learn
  • Attention to detail and commitment to quality
  • Strong documentation and organizational skills
  • Experience with Microsoft SQL Server, Azure SQL, and Azure Data Factory
  • Experience with enterprise data platform projects or cloud transformation initiatives
  • Microsoft Data, Azure, or Fabric certifications
  • Knowledge of database performance tuning, monitoring, and optimization
  • Experience with automation and Infrastructure-as-Code practices

APM Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APM Group and has not been reviewed or approved by APM Group.

  • Parental & Family Support — Family support offerings, including generous paid parental leave and support partner leave, are prominently featured. Resources like the APM Family Hub and tailored support plans aim to help employees balance personal and professional responsibilities.
  • Leave & Time Off Breadth — Employees can purchase up to two additional weeks of annual leave using pre-tax deductions, expanding time-off options. This flexibility is positioned alongside standard leave to support work-life balance.
  • Wellbeing & Lifestyle Benefits — Wellbeing programs such as EAP access for employees and families, corporate health discounts, and Fitness Passport are emphasized. Additional wellbeing platforms and resources are presented as part of a broad perks suite.

APM Group Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Perth
16,000 Employees
Year Founded: 1994

What We Do

APM New Zealand is a health, employment, disability, and workplace-services provider supporting individuals, families, communities, and businesses across Aotearoa. Its services include allied health, physiotherapy, vocational rehabilitation, pain management, psychological intervention, employment support, community rehabilitation, and return-to-work programs. APM works with government agencies and insurers to help people recover from injury or illness, improve wellbeing, find employment, and participate in their communities.

Similar Jobs

In-Office or Remote
7 Locations
49 Employees

NTT DATA Logo NTT DATA

Data Engineer

Information Technology • Business Intelligence • Consulting
In-Office
3 Locations
55092 Employees

Colonial First State Logo Colonial First State

Data Engineer

Fintech • Software • Financial Services
In-Office
2 Locations
1509 Employees

Commonwealth Bank Logo Commonwealth Bank

Data Engineer

Fintech • Financial Services
In-Office
3 Locations
52000 Employees

Similar Companies Hiring

OneImaging Thumbnail
Healthtech
Miami, FL
62 Employees
Cravath, Swaine & Moore LLP Thumbnail
Legal Tech • Other • Professional Services
New York, NY
1200 Employees
Vitalize Thumbnail
Artificial Intelligence • Healthtech • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account