Azure Data Factory Engineer

5 days ago

Canberra, ACT, Australia Pinaka Technology Solutions Full time

Azure Data Factory Engineer (x3)
Australian citizenship required.
No PR or Work Visa holders.
Must have an active Negative Vetting Level 1 (or higher) clearance.
What to submit?
A tailored resume in docx format (strictly 3 pages max)
A one page (5000 character) summary response to the selection criteria below.
RFQ Details
RFQ ID: LH-04394
Closing Date: Tuesday, 02 September 2025 11:59pm (Canberra time)
Estimated Start Date: Tuesday, 23 September 2025
Initial Contract Duration: ASAP to 30 June 2026
Extension Term: 12 months
Number of Extensions: 2
Experience Level: APS6 equivalent
Security Clearance: Must have an activeNV1 (or higher)
Client Details
Agency: Australian Electoral Commission
Location of Work: ACT preferred.Open to Melbourne and Brisbane.
Working Arrangements: Hybrid
Maximum Hours: 40 hours per week
Job Details
The AEC seeks threeAzure Data Factory Engineersto design, implement, and optimise data integration pipelines that support theFunding and Disclosure Reform Program.
These engineers will enable secure, efficient data flows across systems, aligning with best practices in transformation, modelling, and compliance.
Key Duties and Responsibilities
Collaborate with stakeholders to design solutions usingAzure Data Factoryand SQL
Develop, implement, and maintainETL pipelinesfor secure data transfer
Design and maintain data models ensuring accuracy, consistency, and performance optimisation
Implement validation and quality checks to identify and resolve anomalies
Monitor and optimise processes to enhance efficiency and reduce latency
Produce and maintain technical documentation (specifications, flow diagrams, procedures)
Troubleshoot integration issues and apply preventative solutions
Stay current on emerging tools and practices in data engineering
Selection Criteria
Max 5000 characters total in one-page pitch (individual responses not required)
Essential Criteria
Strong Microsoft Azure Data Factory skills and experience
Proven experience in data engineering, including data integration, ETL processes, and data modelling
Strong SQL skills and familiarity with data warehousing concepts
Knowledge of data governance, security, and compliance best practices
Excellent problem-solving skills and ability to collaborate in teams
Effective communication with technical and non-technical stakeholders
Ability to build strong working relationships and work independently
Desirable Criteria
Proficiency with Microsoft Azure tools/services (e.g., Azure SQL Database)
Bachelors degree in Computer Science, IT, or related field (or equivalent experience)
Relevant certifications such as Microsoft Azure Data Engineer or AWS Data Analytics
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