• Position Posted: June 16, 2022
  • Senior Data Engineer
  • Department of Education, Skills and Employment
  • Canberra CBD
  • Number of Positions: One (1)

Job Description:Senior Data Engineer
Australian CitizenshipRequired
Security Clearance Level Required:Baseline
Length of Contract:12 months
Contract Extension Options:2 x 12 months

Selection Criteria:

  • Essential criteria: 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.
  • Essential criteria: 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.
  • Essential criteria: Coding and systems administration • Demonstrated experience in coding languages (such as SQL, Python, R, C Sharp/C++, Powershell) • Systems administration experience • Database / Data Lake management experience from design, development, delivery, validation and ongoing maintenance.
  • Essential criteria: 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.
  • Essential criteria: 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: • 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.


The National Skills Commission (NSC) provides expert advice and national leadership on Australia’s labour market and current, emerging and future workforce skills needs. We also have an important role in simplifying and strengthening Australia’s Vocational Education and Training (VET) system. NSC are seeking a Senior Data Engineer to drive the design and implementation of solutions for key data-centric projects and ongoing business conducted on our modern Data and Analytics Platform. The NSC’s work heavily relies on data, and data engineering is a critical part of our work. Our platform has been built with top tier tools and includes Azure Data Lake, Azure Data Factory, Databricks, Apache Spark, Aristotle, RStudio, Power BI and SAS. The Senior Data Engineer role is suited to candidates with strong technical experience who are seeking to transition towards a management/consultant style career track. It will require engaging with Senior Executives to advise on strategy, business planning and shaping the approach to data engineering across the NSC, while also remaining closely engaged with the technical work. The ability to communicate well with business areas is an essential and critical requirement of this role. For more information, please see attached document.

Expressions of Interest By:asap
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Full response will be required by:5 July

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