Data Engineer

Akkodis; City of Brisbane; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

Akkodis is seeking an experienced Data Engineer in Brisbane to lead a large-scale cloud data migration to Microsoft Fabric, rebuild ETL logic with dbt and deliver scalable data pipelines across the data platform.

You will collaborate with business stakeholders and the Data Analytics team to design secure, maintainable solutions that support trusted reporting and decision making, while implementing governance, testing and automation within a hybrid, Brisbane CBD environment.

Qualifications

• Proven experience delivering data migration projects from legacy to cloud platforms.
• Hands-on experience with Microsoft Fabric components (OneLake, Data Factory, Warehouse and Lakehouse).
• Strong SQL and data engineering capability.
• Experience developing and maintaining dbt projects and transformation frameworks.
• Experience with dimensional modelling and modern data warehouse design practices.
• Strong understanding of data quality, reconciliation and validation processes.
• Experience with Azure DevOps, Git and CI/CD deployment practices.
• Ability to reverse engineer legacy ETL processes and stored procedures into modern data models.

Responsibilities

• Design and deliver migration of legacy data assets into Microsoft Fabric and OneLake.
• Develop and maintain scalable data pipelines using Microsoft Fabric Data Factory.
• Rebuild legacy ETL and stored procedure logic into modular dbt models.
• Create and maintain source-to-target mappings, technical documentation and engineering standards.
• Design and implement data models, reporting marts and transformation layers.
• Conduct data reconciliation, validation and quality assurance activities throughout migration.
• Build and maintain automated testing, monitoring and deployment processes.
• Configure and manage version control, CI/CD pipelines and deployment practices.
• Support data governance initiatives, including lineage, cataloguing and data quality management.
• Collaborate with stakeholders to validate requirements and ensure successful project delivery.
• Provide technical guidance and knowledge transfer to internal teams.
• Optimise data solutions for performance, scalability and maintainability.

Skills

SQL

Data engineering

Dimensional modelling

Data quality

Validation

Stakeholder collaboration

Technical guidance

Legacy ETL understanding

Tools

Microsoft Fabric

OneLake

Data Factory

dbt

Azure DevOps

Git

CI/CD

Job description

What's in it for you?

• Long-term contract through to June 2027 with extension potential
• Opportunity to lead a large-scale cloud data migration project
• Work with Microsoft Fabric, dbt and modern data platform technologies
• Hybrid working arrangement in Brisbane CBD

Role Summary

We are seeking an experienced Data Engineer to play a key role in the migration of legacy data assets to Microsoft Fabric and the redevelopment of transformation logic using dbt.

Working closely with business stakeholders and the Data Analytics team, you will design and implement modern, secure and scalable data solutions that support trusted reporting, analytics and decision-making. You will be responsible for delivering robust data pipelines, migration activities, testing, automation and governance capabilities while ensuring the long-term maintainability of the platform.

This role is ideal for a hands-on Data Engineer with strong experience across cloud data platforms, Microsoft Fabric and modern data transformation practices.

Employment Type and Duration

Contract until 30 June 2027 plus extensions

Work Model

Hybrid

Location

Brisbane CBD

Key Responsibilities

• Design and deliver migration of legacy data assets into Microsoft Fabric and OneLake
• Develop and maintain scalable data pipelines using Microsoft Fabric Data Factory
• Rebuild legacy ETL and stored procedure logic into modular dbt models
• Create and maintain source-to-target mappings, technical documentation and engineering standards
• Design and implement data models, reporting marts and transformation layers
• Conduct data reconciliation, validation and quality assurance activities throughout migration
• Build and maintain automated testing, monitoring and deployment processes
• Configure and manage version control, CI/CD pipelines and deployment practices
• Support data governance initiatives, including lineage, cataloguing and data quality management
• Collaborate with stakeholders to validate requirements and ensure successful project delivery
• Provide technical guidance and knowledge transfer to internal teams
• Optimise data solutions for performance, scalability and maintainability

Required Skills & Experience

• Proven experience delivering data migration projects from legacy platforms to modern cloud environments
• Hands-on experience with Microsoft Fabric, including OneLake, Data Factory, Warehouse and Lakehouse environments
• Strong SQL and data engineering capability
• Experience developing and maintaining dbt projects and transformation frameworks
• Experience with dimensional modelling and modern data warehouse design practices
• Strong understanding of data quality, reconciliation and validation processes
• Experience with Azure DevOps, Git and CI/CD deployment practices
• Ability to reverse engineer legacy ETL processes and stored procedures into modern data models

Qualifications & Clearance

• Relevant experience in Data Engineering, Analytics Engineering or Data Platform Development
• Experience with Microsoft Fabric and modern cloud data platforms essential
• Experience with Python, Power BI and Microsoft Purview highly regarded
• Experience working within regulated or large enterprise environments advantageous

If you have what it takes to thrive in this role and want to know more, please reach out to Shreeya Gurung at [e-mail]

"Akkodis is an Equal Opportunity employer, committed to all forms of workforce inclusion. We actively invite and encourage applications by candidates from diverse backgrounds"