Senior Data Engineer, Business Intelligence

University of the Sunshine Coast; City of Moreton Bay; On-site; AUD 90,000 - 120,000; Full time

Job summary

The University of the Sunshine Coast is seeking a data professional to drive enterprise-wide analytics capability. You will design and build scalable data pipelines and strengthen the university's data environment through modern governance practices.

Ideal candidates will have strong experience in data warehousing, Azure tools, and advanced SQL programming. This role offers an opportunity to shape an institution’s data capability in a collaborative environment.

Qualifications

• Strong experience in data warehousing.
• Proven capability in Azure data tools.
• Advanced SQL and programming capability in languages such as Python or PowerShell.
• Experience designing and building ETL pipelines.
• Knowledge of data governance and quality practices.
• Excellent communication skills to influence stakeholders.

Responsibilities

• Design and deliver scalable data pipelines and integrations.
• Partner with stakeholders to deliver data solutions.
• Strengthen and modernise data environment through governance.

Skills

Data warehousing

Azure Data Factory

PowerShell

SQL

Python

Data governance

Data quality

Communication skills

Tools

Azure Synapse

Job description

Opportunity

At UniSC, data is more than information, it is a strategic asset shaping the future of education. As the university enters a new era of data-driven transformation, the Insights and Analytics Unit is leading the charge in delivering enterprise-wide analytics capability.

Reporting to the Manager of Business Intelligence, you will play a critical role in designing, building, and scaling modern data and business intelligence solutions. You will contribute to a university-wide analytics roadmap that enables smarter decisions, improves performance, and enhances the student and staff experience.

Working across a complex and distributed organisation, this is a rare opportunity to shape an institution’s data capability at scale while working in a collaborative and forward-thinking environment.

You will

• design and deliver scalable data pipelines, integrations, and warehouse solutions that enable enterprise-wide analytics;
• partner with stakeholders across the university to deliver high-value data solutions and enhance data maturity;
• strengthen and modernise the data environment through governance, quality controls, and adoption of new technologies

About you

You are a technically strong and commercially minded data professional who enjoys solving complex problems and delivering impactful analytics solutions. You bring a blend of engineering capability and stakeholder engagement skills, allowing you to translate data into meaningful outcomes.

You are naturally curious, proactive, and comfortable working across a broad stakeholder group. You thrive in environments where you can influence, innovate, and continuously improve how data is used.

You will possess

• Strong experience in data warehousing
• Proven capability in Azure data tools such as Data Factory, Synapse, and related data engineering technologies
• Advanced SQL and programming capability in languages such as Python or PowerShell
• Experience designing and building ETL pipelines and modern data architectures
• Knowledge of data governance, data quality, security, and privacy practices
• Excellent communication skills, with the ability to influence and collaborate across diverse stakeholders
• Experience managing competing priorities and contributing to complex project delivery

Equal Opportunity

UniSC is an equal opportunity employer, committed to diversity and inclusion. We encourage applications from all backgrounds, including those with disabilities, women in STEM, First Nations Peoples, and individuals of diverse cultures, genders, abilities, and experiences. We value achievement relative to opportunity and encourage your commentary on your achievements in this context. For additional support during the application process, please contact us at [e-mail] or call [phone].