Senior Data Engineer – NiFi

This is a fully remote position, open to applicants in Australia.

📋 Description

• You will design, develop, and maintain data engineering solutions that prepare, integrate, and facilitate access to data for analytical and operational purposes across ASD.

• Your role will involve working with various data sources and formats, creating reusable NiFi components, and formulating integration strategies that support the broader analytical capabilities.

• You will plan and lead the creation of data engineering solutions while balancing both functional and non-functional requirements.

• You will create scalable and reusable NiFi templates and processors for data ingestion and transformation.

• Your responsibilities will include optimizing performance and ensuring high availability of data pipelines.

• You will integrate data from diverse sources and formats into centralized systems.

• You will engage in data modeling to facilitate efficient data storage, retrieval, and analytics.

• You will provide expert guidance on data integration and enhance the capabilities of others in implementing best integration practices.

• You will oversee the application of data standards, architectures, and security to ensure compliance and scalability.

• You will establish standards and guidelines concerning data protection, disaster recovery, and storage management.

• You will contribute to organizational policies and guidelines related to data engineering.

• You will collaborate with cross-functional teams to define data flow and integration strategies.

• You will lead the selection and development of data engineering methodologies, tools, and techniques.

• You will develop and advocate for continuous integration, deployment, and monitoring practices.

⛳️ Requirements

• Expert hands-on experience with Apache NiFi, demonstrating the ability to build scalable, reusable templates and processors for ingestion and transformation at an enterprise level.

• Proven data engineering capability at SFIA Level 6, guiding data engineering efforts for strategic, large-scale, and complex programs while establishing technical direction.

• Strong proficiency in data modeling and design at SFIA Level 5, including the management of enterprise data requirements and the establishment of modeling standards.

• Expertise in storage management at SFIA Level 5, focusing on data protection, disaster recovery, and the management of storage and backup systems to meet agreed service levels.

• A current PV security clearance and Australian citizenship are required to be considered for this role.

🏝️ Benefits

• Comprehensive training and professional development opportunities.

• Competitive salary and performance-based incentives.

• Collaborative work environment with a focus on innovation.

• Flexible working arrangements and work-life balance initiatives.