Data Engineer: Advanced SQL & Enterprise Data Pipelines

University of Adelaide; Adelaide; On-site; AUD 104,000 - 116,000; Full time

Job summary

University of Adelaide is seeking an experienced Data Engineer to design, develop and optimise enterprise data solutions that power data-driven decision-making across the university. Advanced SQL skills are essential.

You will build and maintain data pipelines, transformations, models and reporting datasets to ensure trusted data is available for strategic and operational outcomes. Experience with cloud data platforms, ETL/ELT pipelines and modern analytics tools is desirable; however,

Qualifications

• Advanced SQL expertise, including complex query development, optimisation, troubleshooting and data transformation.
• Experience in data manipulation, preparation, and integration
• Experience in designing, developing, and supporting data pipelines, models, and processes
• Proficiency in data management and business intelligence concepts and practices
• Experience with data manipulation tools and/or programming languages such as SQL, DBT, Microsoft Fabric, ODI.
• Experience in stakeholder engagement, expectations, and relationship management

Responsibilities

• Design, develop and optimise enterprise data solutions that support data-driven decision-making across Adelaide University.
• Develop and maintain data pipelines, transformations, models and reporting datasets.
• Ensure trusted and accessible data is available to support strategic and operational outcomes.

Skills

Advanced SQL

Data manipulation

Data integration

Data modelling

BI concepts

Stakeholder engagement

Tools

DBT

Microsoft Fabric

Oracle Data Integrator (ODI)

Job description

University of Adelaide is seeking an experienced Data Engineer to design, develop and optimise enterprise data solutions that power data-driven decision-making across the university. Advanced SQL skills are essential.

You will build and maintain data pipelines, transformations, models and reporting datasets to ensure trusted data is available for strategic and operational outcomes. Experience with cloud data platforms, ETL/ELT pipelines and modern analytics tools is desirable; however,