$117,593 - $135,935 (plus 15.4% superannuation and allowances)locations: Canberra, Adelaide, Perth or Melbournepermanent position, full-time or part-time (flexible working arrangements)The Australian Bureau of Statistics (ABS) is looking to fill one vacancy of
Assistant Director, Data Engineer (EL1)
in the Data Integration Services Branch (DISB) to work in the Data Integration Assembly (DIA) section.About the role
Responsibilities are varied depending on the individual's skills, their role and the requirements of their team.
All team members are in data operations roles with responsibilities to build and innovate data pipelines, quality stage gates and maintain documentation against agreed specifications.Primary Responsibilities
Providing leadership and support to a team of Data Engineers, including developing their data capability.Managing data projects with competing priorities.Developing and maintaining relationships with external customers and internal data users.Leading the wrangling of large datasets using a range of tools such as Python, R, SAS and SQL to produce linkage inputs, data products, or insights.Overseeing the linking datasets through merging or the application of statistical linkage methods.Undertaking quality assurance of source datasets, linkage results and assembled products.Delivering high quality, fit-for-purpose and timely outputs that meet clients' needs.Working on a range of dynamic projects concurrently.Responding to user queries on data access and use to an agreed service level.Working within the team to contribute to the maintenance and continual improvement of user documentation and standard processes in line with data security requirements.What we are looking for (selection criteria)
Data Engineers at the Assistant Director (Executive Level 1)
have considerable previous professional experience managing complex data projects, are strong strategic thinkers and are able to provide leadership of their team's work program under broad direction.
These roles require a high degree of people, stakeholder and project management experience and involve leading, managing and developing a team of data engineers to deliver complex projects.To be suitable you should have most or all of the following skills, qualities and experience:Leadership skills and staff management capabilities, including two or more years of experience leading a team and proactively managing competing priorities
(essential).Conceptual and analytical skills, including the ability to work with stakeholders to critically assess and wrangle complex information and data, while developing innovative solutions
(essential).Two or more years' experience working with data and using a statistical programming language such as Python, R, SAS, and SQL
(essential).Demonstrated project management experience and the ability to work independently to deliver quality outcomes within a dynamic and complex environment.Knowledge, or applied experience, in Agile scrum methodology, project management applications such as Jira or Azure DevOps.Strong oral, written and presentation communication skills including the ability to engage with internal and external stakeholders, and operate effectively in a team.Knowledge, or applied experience in cloud-based computing and architecture.A commitment to supporting public trust in the government's responsible use of data, including an awareness of, or ability to quickly understand and apply, data ethics and privacy principles, the ABS legislative framework and ABS data release policies.Academic qualifications in data engineering, data science, computer science, statistics, mathematics, or other fields with a strong quantitative component.How to apply
To apply, complete an online application form on the ABS e-recruitment system.
You will need to upload your current resume, provide referee details and respond to the following:In no more than
750 words,
provide one or more examples that demonstrates the skills, qualities and experience required for the role as outlined in the Selection Criteria (section 1 of the attached Applicant Information Kit).Important:
responses fewer than 300 words will not be considered.
Please read the attached
Applicant Information Kit
for more information about the position and the recruitment process.Applications close at 11:30 pm (AEST), Sunday 13 April 2025.
Late applications will not be accepted.Start your application by clicking the "Begin" button.
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