Contract Duration: ASAP to 30 June 2027 with 1 x 12-month extension
Start Date: 5 October 2026
Maximum Hours: Up to 40 hours per week
Security Clearance: Must hold an active NV1 Security Clearance
Experience Level: Senior (APS6 Equivalent)
Working Arrangements: Hybrid (Canberra or Sydney office with remote working arrangements available)
About the Opportunity
Our Government partner is seeking an experienced Senior Data Engineer to design, develop and support enterprise-scale Azure data platforms that underpin critical analytics, business intelligence and election systems.
Working within multidisciplinary Agile delivery teams, you will build modern ETL/ELT solutions, develop analytical datasets and contribute to the ongoing modernisation of enterprise data capabilities using Microsoft Azure technologies.
This role offers the opportunity to work across complex cloud-based data environments while collaborating closely with architects, data modellers, analysts and business stakeholders.
Key Responsibilities
- Design, develop and optimise ETL/ELT pipelines using Azure Data Factory.
- Build and maintain metadata-driven and parameterised data pipelines.
- Develop and optimise complex T-SQL including stored procedures, views and functions.
- Design and support dimensional data models (Star and Snowflake schemas).
- Integrate data from REST and SOAP APIs using OAuth2, managed identities and token-based authentication.
- Develop and maintain Azure DevOps CI/CD pipelines and Git repositories.
- Logic Apps
- Monitor and troubleshoot production data pipelines using Azure Monitor and Log Analytics.
- Investigate and resolve production incidents and data integration issues.
- Collaborate with architects, analysts and business stakeholders to deliver scalable technical solutions.
- Participate in Agile and SAFe ceremonies.
- Maintain coding standards, documentation, testing and version control best practices.
- Participate in operational support and on‑call activities when required.
Applicants should demonstrate experience in
- Designing and implementing enterprise ETL/ELT solutions using Azure Data Factory.
- Developing scalable, metadata-driven data integration solutions.
- Advanced T-SQL development, database optimisation and performance tuning.
- Dimensional data modelling and analytical data warehouse design.
- Consuming REST and SOAP APIs including JSON/XML transformation.
- Azure DevOps and Git source control.
- Monitoring, troubleshooting and supporting enterprise Azure data platforms.
- Strong analytical, troubleshooting and problem-solving abilities.
- Excellent written and verbal communication skills.
- Working effectively within Agile or SAFe delivery environments.
Highly regarded experience includes
- Building and maintaining Azure DevOps CI/CD deployment pipelines.
- Relevant tertiary qualifications in Computer Science, Data Engineering, Data Science, Statistics or Software Engineering.