Application closing date: Friday, 12 April 2024 • 11:59pm, Canberra timeEstimated start date: Monday, 03 June 2024Location of work: ACTWorking arrangements: The successful candidate will work 5 days per week and up to a maximum of 40 hours per week, unless otherwise agreed with their manager. The role is Canberra based, however interstate candidates will be considered. Remote working arrangements will be negotiated on a case-by-case basis. Interstate candidates must:
- Travel to Canberra for the first week of their engagement for induction and to meet their team.
- Travel to Canberra at least once per month for a minimum of 4 working days for key stakeholder, team, and organisational events, as required by their manager.
- Travel will be at the cost of the successful candidate.
- Accountable to provide a strategic level of specialist and professional analysis to define, structure and solve very complex Data Engineering challenges.
- Utilise tools and techniques to develop and test Data Engineering solutions to achieve business outcomes.
- Generate and review very complex advice on requirements, current and future state models and plans, designs and solutions to improve data interoperability, storage, analysis and transmission.
- Build maintain and deploy data pipelines analytical environments and models and data stores to store transform, integrate, analyse and transport data and meta-data from a variety of sources to enable others to use and analyse data.
- Manage the risks associated with the use of data including ensuring the security of data storage and transmission mechanisms.
- Build and sustain strong relationships with a network of key stakeholders to deliver tailored recommendations.
- Analyse very complex problems, applying expertise, professional judgement and initiative to identify and recommend alternative courses of action and opportunities for continuous improvement.
- Anticipate changes and establish priorities, monitor progress and work to deliver required corporate outcomes, within the data function.
- Demonstrated high-level experience as a Data Engineer in large and very complex enterprise environments.
- Demonstrated experience providing strategic advice to senior management and stakeholders as well as leading and assuming accountability for very complex work that have strategic, political or operational significance.
- Demonstrated experience providing strategic direction to the work unit, including developing business plans, strategies and priorities and monitor work flow.
- Extensive knowledge relating to the methodology, systems and procedures within the data function and have the ability to translate this into strategy.
- Demonstrated experience in Object Oriented Language (Java, Python, go, JavaScript, SQL, Cypher).
- Demonstrated experience in processing and analytics services. (Spark, Java map reduce, Knative, Ray, NIFI).
- Knowledge or experience in working with Open-search, Neo4j,Redis, Oracle, Kafka, Kubernetes.
- Please complete a one-page summary (no more than 500 words) that demonstrates your ability to perform the 'Job Duties and Responsibilities' set out in the job description above.
- Please complete a one-page summary (no more than 500 words) that demonstrates your ability to perform the 'Job Skills and Qualifications' set out in the job description above.