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About the Role

The Lead Data Engineer will design, develop, and maintain data integration solutions connecting the AEC’s on-premises and cloud-based enterprise applications using Microsoft Azure tools. This role involves creating efficient data pipelines, ensuring data quality, optimizing performance, adhering to security and compliance standards, collaborating with cross-functional teams, troubleshooting integration issues, and staying current with emerging data engineering trends to contribute to the agency’s data-driven success.

Responsibilities

• Design data integration solutions with stakeholders using Microsoft Azure tools like Azure Data Factory and SQL.
• Develop, implement, and maintain efficient and secure ETL pipelines.
• Design and maintain scalable and performant data models, ensuring accuracy, consistency, and availability.
• Implement data validation and quality checks to rectify data anomalies, errors, and inconsistencies.
• Monitor and optimise data integration processes for performance, latency, and resource consumption.
• Create and maintain comprehensive documentation for data integration solutions.
• Collaborate with cross-functional teams to align integrations with business objectives.
• Troubleshoot and resolve data integration issues.
• Stay updated on emerging data engineering technologies and industry trends.
• Perform additional duties as directed.

Requirements

• Proven experience in data engineering, data integration, ETL processes, and data modelling.
• Strong SQL skills.
• Experience with data warehousing concepts.
• Knowledge of data governance, security, and compliance best practices.
• Excellent problem-solving skills.
• Ability to work effectively in a collaborative team environment.
• Effective communication skills for technical and non-technical stakeholders.
• Demonstrated ability to build and maintain effective working relationships.
• Ability to work independently and be self-motivated.
• Must have a Baseline security clearance.

Skills

• Microsoft Azure tools
• Azure Data Factory
• SQL
• Data modelling
• ETL processes
• Data validation
• Data quality checks
• Data integration
• Data warehousing
• Data governance
• Data security
• Azure SQL Database

Location

• NSW

Work Type

• Hybrid
• Contract until 30 June 2027

Experience Level

• Proven experience in data engineering

Education Level

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
• Microsoft Azure Data Engineer certification (advantageous)
• AWS Certified Data Analytics certification (advantageous)

Salary/Compensations

• $100 - $120 per hour (including super)

About the Company

• The Australian Electoral Commission (AEC) has an Enterprise Strategy and Transformation Division (ESTD).
• The ESTD drives the AEC’s transformation agenda and delivers the Election Systems Modernisation Program (Indigo Program).
• The Indigo Program is a large-scale transformation to modernise business capabilities and replace core election ICT systems.
• The program aims to transform AEC’s electoral services delivery and ensure electoral system integrity.
• Tranche 2 focuses on business process re-engineering, data management, legislative compliance, and replacing aging systems.