Drive enterprise data innovation using Microsoft Fabric, Azure, and modern analytics platforms.

Your new company

Join a well-established organisation undergoing a significant data and analytics transformation. This organisation is investing heavily in modern cloud-based platforms, data governance, and business intelligence capabilities to support data-driven decision-making across the enterprise. Working within a collaborative and forward-thinking technology team, you will play a key role in delivering scalable and innovative data solutions that support critical business operations.

Your new role

As a Data Engineer, you will be responsible for designing, developing, and maintaining enterprise-grade data platforms and analytics solutions across both cloud and on-premises environments. You will work closely with business stakeholders, analysts, and technical teams to build robust data pipelines, optimise data performance, and deliver trusted reporting and analytics capabilities.
Key responsibilities include:

- Designing and developing ETL/ELT solutions and modern Lakehouse architectures
- Building and maintaining data solutions using the Microsoft BI Stack, including SSIS, SSAS, Report Builder, Microsoft Fabric, and legacy BI platforms
- Developing data processing solutions using Python and PySpark
- Writing and optimising advanced SQL and T-SQL queries, stored procedures, and data models
- Delivering scalable solutions across Azure Data and Analytics services
- Developing tabular and semantic models to support enterprise reporting
- Creating and supporting Power BI datasets, reports, and DAX measures
- Implementing CI/CD practices through Azure DevOps
- Supporting hybrid Azure environments spanning both cloud and on-premises platforms
- Performing performance tuning, optimisation,



and troubleshooting of data systems
- Engaging with stakeholders to gather requirements and translate business needs into technical solutions

What you'll need to succeed

To be successful in this role, you will possess strong experience delivering enterprise data and analytics solutions within Microsoft-centric environments.
You will demonstrate experience with:

- Microsoft BI technologies including SSIS, SSAS, Report Builder, Microsoft Fabric, and legacy BI platforms
- Python and PySpark development
- Advanced SQL/T-SQL programming and database optimisation
- Data Warehousing, ETL/ELT methodologies, and Lakehouse architectures
- Azure Data Platform and Analytics services
- Tabular modelling and semantic data models
- Power BI development, including DAX
- Azure DevOps and CI/CD implementation
- Hybrid cloud and on-premises data environments
- Performance tuning and optimisation of large-scale data solutions
- Strong communication, stakeholder engagement, and requirements gathering skills

Desirable skills include:

- Databricks
- Power Apps and the broader Power Platform
- PowerShell scripting
- Oracle data integration experience
- Azure, Power BI, or Microsoft Fabric certifications

What you'll get in return

In return, you'll join a collaborative and high-performing technology team delivering impactful data transformation initiatives. You'll have the prospect to work with cutting-edge Microsoft technologies, contribute to strategic projects, and further develop your technical and professional capabilities within a supportive environment.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

📌 Data Engineer (Adelaide)
🏢 Hays Technology
📍 Adelaide