Data Engineer

Work options: On-site

Mon to Fri - Office hours

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).