Data Engineer On-Site — Canberra Region, Australian Capital Territory

Expired

Security Clearance Required for this role: Must have a Current Baseline or NV1 security clearance. Must be an Australian Citizen This will be an Office based role in Canberra. You will be responsible for planning and driving the development of data engineering solutions, ensuring that they balance functional and non-functional requirements. This role involves monitoring the application of data standards and architectures, including security and compliance, and contributing to organizational policies, standards, and guidelines for data engineering. Key Responsibilities: Plan and drive the development of data engineering solutions. Ensure solutions balance functional and non-functional requirements. Monitor the application of data standards and architectures, including security and compliance. Contribute to organizational policies, standards, and guidelines for data engineering. Design, build, operationalize, secure, and monitor data pipelines and data stores. Identify data sources, data processing concepts, and methods. Evaluate, design, and implement on-premise, cloud-based, and hybrid data engineering solutions. Structure and store data for various uses, including analytics, machine learning, and data mining. Integrate, consolidate, and cleanse data. Migrate and convert data. Apply ethical principles in handling data. Ensure appropriate storage of data in line with relevant legislation. Build in security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability. Qualifications: Proven experience in data engineering, with a focus on designing and implementing data pipelines and data stores. Strong understanding of data engineering standards and tools. Experience with on-premise, cloud-based, and hybrid data engineering solutions. Knowledge of data processing concepts and methods. Familiarity with data security and compliance requirements. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Proficiency in programming languages such as Python, Java, or Scala. Knowledge of database systems (e.g., SQL, NoSQL). Experience with data visualization tools (e.g., Tableau, Power BI).