APS6 Senior Data Engineer

• Initial Contract Duration: Up to 12 months initial period to 30 June 2027
  
• Extension term details: 12 Months
  
• Number of extensions: 2
  
• Location: QLD WA ACT VIC NSW NT SA TAS
  
• Security Requirements: Must be able to obtain Negative Vetting Level 1
  
• Working Arrangements: Hybrid
  Full Time Requirement: Onsite standard 8 hours per day and 40 hours per week in total. Flexible Working Arrangements (including remote working arrangements): Requests will be considered on a case-by-case basis against the business requirements of the department and the needs of the immediate work area.
• Maximum hours: 40 hours per week
  

Job details

Senior Data Engineer Jobs and Skills Australia

As the JSA Senior Data Engineer you will be leading the development of project work that requires high-level strategic thinking ability to support positive outcomes to complex problems and provide knowledge advice across technical forums. Your highly developed interpersonal and capability to identify areas for process improvement skills will be highly regarded.

Responsibilities include but not limited to:

• Strong background in software development and managing Microsoft cloud
  platforms Data Factory SQL Server Databricks.
• Extensive experience with CI/CD pipelines
  
• High Proficiency in cloud platforms such as AWS & Azure
  
• Deep understanding of containerization technologies.
  
• Excellent scripting and automation skills (Python Shell Lambda JavaScript Typescript)
  
• Our ideal candidate has a strong ICT background strategic planning abilities and stakeholder engagement experience. You will have exceptional communication skills and be able to track team progress and performance to ensure deadlines are met. Demonstrated experience in building and maintaining productive relationships as well as the ability to present and negotiate with influence at all levels is pivotal to success in this role.
  

Key duties and responsibilities

As a Senior Data Engineer you will be required to:

• Contribute to the development of data ingestion and ETL solutions for JSA data assets critical for projects and ongoing business.
  
• Establish streamlined processes to deliver business-ready data for use by JSA teams.
  
• Develop and build data engineering solutions to join and transform data assets critical to delivery of JSA projects.
  
• Review and refine existing data engineering solutions
  
• Provide advice and guidance on risks and issues to non-technical managers and stakeholders.
  
• Assist with data modelling on existing data assets to inform data architecture.
  
• Develop implement and review processes and procedures related to JSA data infrastructure
  
• Work closely with application infrastructure and networking partners on development of infrastructure to support data and analytics projects and integration between cloud and on-premises hosted services
  
• Work under limited direction and be accountable for planning analysis design development and delivery activities within tight timeframes.
  
• Performing additional duties or assume responsibility of functions as directed by the supervisor from time to time
  
• Participating in Performance discussions as required by the supervisor
  

Technical Skills

Highly proficient in developing configuring validating and managing Microsoft cloud platforms Data Factory SQL Server Databricks. You must have the ability to hit the ground running with minimal instruction. Demonstrated ability to lead and manage internal and external projects while leading internal teams as well as taking the lead as required when technical issues arise. The candidate must have the ability to take the lead and problem sole in an agile manner.

About the team

We have a diverse inclusive and professional team of specialists with skills in policy data stakeholder engagement digital solutions economics and research to reach and work with stakeholders.

Essential Criteria

1. Data Engineering Qualifications in Computer Science IT or a related discipline Data engineer experience Demonstrated experience in developing configuring validating and managing Microsoft cloud platforms Data Factory SQL Server Databricks. Understanding of Machine Learning concepts. Demonstrated experience in DevOps and/or DataOps. Documented hands-on ETL development using tools like SQL Server Integration Services or Azure Data Factory.
   
   
2. Data modelling and database management Data modelling experience Strong knowledge of database structure systems data analytics data mining and data modelling techniques. Documented experience in data analysis and management with excellent analytical problem solving abilities. Demonstrated ability to combine multiple large and complex datasets to deliver high-quality datasets.
   
   
3. Coding and systems administration Demonstrated experience in coding languages (such as SQL Python R PowerShell) Systems administration experience Database / Data Lake management experience from design development delivery validation and ongoing maintenance.
   
   
4. Reporting and visualisation Experience using and developing engineering solutions for data visualisation tools such as RStudio Power BI SAS Qlik Tableau. An applied understanding of UI design concepts.
   
   
5. Communication and Collaboration Well-developed team collaboration and communication skills Demonstrated ability to work under limited direction and accountability for completion of work. Demonstrated ability to provide advice and develop solutions within multi-disciplinary work environments. Demonstrated ability to communicate complex technical concepts to non-technical staff.
   

Desirable Criteria

1. Experience with the deployment and maintenance of machine learning models. Experience developing datasets API delivery for a variety of scenarios Experience with machine learning technologies. Apache Spark (Scala or Python) experience. Spark SQL coding experience. Automation experience. End-to-end Machine Learning pipeline development. Proven experience working on Data Science projects.
   

Application Deadline: Wednesday 17 June 2026

Expected Start Date: Wednesday 01 July 2026

Note: If you wish to have a confidential discussion call us onorfor more information.