Senior Data Engineer

Apm-Group; Perth; On-site; AUD 140,000 - 190,000; Full time

Job summary

Apm-Group is seeking a Senior Data Engineer in Perth to drive enterprise data platform transformation using Microsoft Fabric. You will design, build and optimise scalable, secure data solutions supporting analytics and AI initiatives.

You will lead technical leadership across data engineering, governance, performance optimisation and operational support, collaborating with Architects, Cyber Security and Analytics teams.

Qualifications

• 7+ years' experience supporting enterprise data platforms and data infrastructure services.
• Hands-on experience delivering Microsoft Fabric implementations and transformation projects.
• Strong expertise across Microsoft Fabric, OneLake, lakehouse architectures, Azure Data Factory and SQL platforms.

Responsibilities

• Designing and optimising Microsoft Fabric solutions including OneLake, Lakehouses, Warehouses, Data Factory pipelines and Spark notebooks.
• Implementing Medallion Architecture across Bronze, Silver, Gold and Serving layers.
• Developing resilient batch and near real-time data integration pipelines from applications, APIs, databases and cloud platforms.
• Building complex data transformations using SQL, Python and PySpark.
• Leading data platform migration, modernisation and reporting transformation initiatives.
• Driving data quality, governance, security and compliance across the data lifecycle.
• Leading performance tuning, monitoring, capacity management and DR strategies.
• Providing technical leadership, mentoring and knowledge sharing across data teams.
• Troubleshooting production environments and driving continuous improvement initiatives.

Skills

SQL

Python

PySpark

Stakeholder engagement

Leadership

Tools

Microsoft Fabric

OneLake

Lakehouse

Azure Data Factory

SQL Server

Azure SQL

Power BI

Job description

• Site Address: 58 Ord Street, WEST PERTH, WA, 6005
• Job Function Group: Corporate and Support
• Job Function: Information Technology
• Employment Type: Temporary Full Time

Job Description

Drive enterprise data transformation with Microsoft Fabric

We are seeking a highly skilled Senior Data Engineer to lead the design, development and optimisation of modern enterprise data platforms. This is an exciting opportunity to play a key role in delivering scalable, secure and governed data solutions that support reporting, analytics and future AI initiatives across the organisation.

Working closely with Architects, Cyber Security, Infrastructure, Application and Analytics teams, you will provide technical leadership while delivering complex data platform modernisation and cloud transformation projects.

About the Role

As the Senior Data Engineer, you will be responsible for designing, building and supporting enterprise data solutions using the Microsoft Fabric ecosystem. Acting as a technical SME and escalation point, you will lead best practice implementation across data engineering, governance, performance optimisation and operational support.

Key responsibilities include:

• Designing and optimising Microsoft Fabric solutions including OneLake, Lakehouses, Warehouses, Data Factory pipelines, Dataflows Gen2, Spark notebooks and Semantic Models
• Implementing scalable Medallion Architecture across Bronze, Silver, Gold and Serving data layers
• Developing resilient batch and near real-time data integration pipelines from enterprise applications, APIs, databases and cloud platforms
• Building complex data transformations using SQL, Python and PySpark
• Delivering data platform migration, modernisation and reporting transformation initiatives
• Driving data quality, governance, security and compliance across the data lifecycle
• Leading performance tuning, monitoring, optimisation and capacity management activities
• Designing and supporting backup, recovery, high-availability and disaster recovery solutions
• Providing technical leadership, mentoring and knowledge sharing across data teams
• Supporting production-critical environments through troubleshooting, root cause analysis and continuous improvement initiatives

About You

You are a senior data engineering professional with deep expertise across Microsoft data platforms and a strong track record delivering enterprise-scale solutions in complex environments.

• 7+ years' experience supporting enterprise data platforms, database environments and data infrastructure services
• Hands-on experience delivering Microsoft Fabric implementations and transformation projects
• Strong expertise across:
  • Microsoft Fabric
  • OneLake, Lakehouse and Warehouse architectures
  • Azure Data Factory
  • Microsoft SQL Server and Azure SQL
  • Power BI and Semantic Models
  • SQL, Python and PySpark
• Experience designing secure, scalable and governed cloud data platforms
• Strong understanding of data governance, security, encryption, auditing and compliance requirements
• Experience with performance tuning, backup and recovery, high availability and disaster recovery
• Proven experience working within large-scale enterprise and cloud-enabled environments
• Strong stakeholder engagement and communication skills with the ability to translate technical concepts into business outcomes

Highly Regarded

• Microsoft Data, Azure or Fabric certifications
• ITIL and/or ISO 27001 certifications
• Experience with automation, PowerShell and Infrastructure-as-Code practices
• Exposure to enterprise cloud transformation and data modernisation programs

Why Join Us?

• Lead enterprise-wide data and analytics transformation initiatives
• Work with cutting-edge Microsoft Fabric technologies
• Influence architecture, standards and platform strategy
• Collaborate with highly skilled technology and business teams
• Deliver solutions that support advanced analytics, reporting and AI capabilities
• Flexible and supportive working environment
• Ongoing professional development and career growth opportunities

If you're passionate about modern data platforms and want to play a leading role in shaping the future of enterprise data and analytics, we'd love to hear from you.