12 month engagement + extensions
Must be in Canberra
APS6 rates
Ability to obtain a security clearance
Candidate must be an Australian citizen
The Role
Data Engineers prepare raw data for analytical and operational uses, making data accessible for optimisation, service delivery, and advanced analytics. We are seeking a skilled and proactive Data Engineer to join our data and analytics team. In this role, you will design, build, and maintain robust data pipelines and cloud-based infrastructure to enable enterprise-wide reporting, analytics, and governance initiatives. You will collaborate with internal and external stakeholders with varying levels of data literacy to ensure seamless data integration and quality outcomes. The ideal candidate will have strong ETL development skills, experience with Azure Fabric or similar cloud platforms, and a passion for data quality, transparency, and continuous improvement. You will also mentor junior engineers and champion best practices in data engineering and governance.
Key duties and responsibilities
Generate and manage standardised reporting templates.
Develop and maintain ETL processes to load data into the Data Warehouse.
Apply data quality checks and ensure schema compliance.
Collaborate with Programs Division and other stakeholders to implement template changes.
Support dashboards and reporting products for Quarterly Reviews.
Technical skills
Strong SQL, Python and Excel skills; experience with on-premises and cloud platforms.
Knowledge of data modelling and quality frameworks.
Ability to work within governance processes.
Experience with template driven data ingestion and multi stakeholder environments.
Essential criteria
Data engineering: Level 5 (SFIA) Plans and drives the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements.
Data integrity and quality assurance: Level 2 (DCF) Can describe and produce data quality measures for the outputs they produce Has a comprehensive knowledge of relevant data quality measures and can use them to make accurate assessments of data fitness-for purpose (including trustworthiness and accuracy)
Data modelling and design: Level 4 (SFIA) Investigates enterprise data requirements where there is some complexity and ambiguity.
Database design: Level 4 (SFIA) Implements physical database designs to support transactional data requirements for performance and availability.
Integrate data: Level 2 (DCF) Can perform data integration using standard tools and can implement quality controls Knows where to obtain expert advice on data integration as needed Is able to understand and amend existing code (programming language) to integrate data Can assess datasets' suitability for linkage and extract appropriately prepared datasets
How to apply:
Please hit the apply button or for more information contact Anne from Randstad Digital on
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
Experience
3 years
Skills
Data Engineering
Qualifications
Strong SQL
Python and Excel skills
experience with on-premises and cloud platforms.
education
Associate Degree/Diploma
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Staffing and Recruiting