12 month engagement + extensions
Must be in Canberra
Must hold an active Baseline clearance
Candidate must be an Australian citizen
Specific responsibilities include:
Support the Chief Data Officer and the agency in delivering the Data and Reporting Strategy to improve data governance.
Support business areas to improve data transparency under the agency's open data policy.
Promote and facilitate sharing of scheme data across Commonwealth agencies.
Provide a point of liaison between the Digital Services branch and business areas on the delivery of data services infrastructure under the Data Services Roadmap.
Build agency analytics capability, and utilise data analytics and geospatial analytics to:
Support the integrity of agency schemes by detecting, predicting and preventing non-compliance.
Provide insights and evidence to decision-makers and other stakeholders on the behaviour of our clients and the trends and outcomes in our schemes.
Identify and deliver business improvements and efficiencies.
Support innovative approaches to reduce regulatory burden, support self-service approaches, improve efficiency and encourage compliance with our schemes – by:
Working with business areas to identify, prioritise and implement innovative approaches to scheme and participant needs or problems.
Provide targeted skills and resources to consult on, design, build and/or roll out strategic initiatives that result in improvements to internal processes, data collection, client compliance, and communication related to scheme operations.
Role Responsibilities & Duties
Design, construct, and optimize data lakes, CI/CD, and Synapse pipelines within the Azure stack.
Develop scalable architecture practices for pipeline designs.
Lead data migration and integration for critical change programs.
Ensure data integrity and align engineering tasks with program objectives.
Mentor team members and drive new data engineering practices adoption.
Monitor and improve data service performance and costs.
Maintain documentation and adhere to data governance policies.
Research and innovate within the Azure data engineering field.
Qualifications/Experience
Bachelor's degree in computer science, Engineering, or a related field.
Certifications in Azure Data Services, such as the Microsoft Certified: Azure Data Engineer Associate.
3+ years of experience in data engineering with a focus on Azure services.
Proven experience with Azure Data Lake, Azure Synapse Analytics, and CI/CD pipelines.
Demonstrated ability to design and implement scalable data architectures.
Design of tabular models.
Experience in data migration and managing large-scale data pipelines.
Familiarity with DevOps practices and tools within the Azure ecosystem.
Strong technical skills in SQL, Python, and R
Proficiency in data modelling including reuse and scalability patterns
Knowledge of Azure Monitor, Azure Security, and compliance frameworks.
Ability to work with s and lead technical projects.
Experience building data profiling, data cleansing and data engineering frameworks.
How to apply:
Please hit the apply button or for more information contact Anne from Randstad Digital on 02 6243 6404.
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
experience
5 years
skills
Data Engineering
qualifications
Data Engineering
education
Secondary School/High School