Senior Data Platform Engineer — Lead Innovation & Growth

Safe Transport Victoria

Melbourne

Presencial

AUD 143 000 - 191 000

Tempo integral

Há 2 dias
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Resumo da oferta

Safe Transport Victoria is seeking a Senior Data Engineer to lead the development, maintenance and improvement of the Data Platform and related Cloud environment. Reporting to the Senior Manager Data Platform, you will provide technical leadership and ensure data solutions are fit for purpose and support the Data Strategy.

You will drive high-volume data environments, build complex data models or algorithms, and collaborate with stakeholders to improve data quality and production reliability.

Qualificações

  • Credentials in data science, mathematics, actuary, or statistics.
  • Experience with high-volume data literacy environments.
  • Experience formulating complex data models or algorithms.

Responsabilidades

  • Develop Organisational Capability - Apply your knowledge of external factors relating to capability development such as demographic trends, skills shortages and future workforce requirements.
  • Lead and Navigate Change - Identify long-term organisational changes.
  • Outcomes Thinking - Be up to date with the STV operational requirements and formulate strategies that align organisational deliverables with community expectations.
  • Innovation and Continuous Improvement - Drive a culture of quality by design where quality practices are embedded in the service and solution delivery process.

Conhecimentos

Data engineering
Statistics
Mathematics
Algorithms

Formação académica

Statistics / quantitative discipline

Descrição da oferta de emprego

Safe Transport Victoria is seeking a Senior Data Engineer to lead the development, maintenance and improvement of the Data Platform and related Cloud environment. Reporting to the Senior Manager Data Platform, you will provide technical leadership and ensure data solutions are fit for purpose and support the Data Strategy.

You will drive high-volume data environments, build complex data models or algorithms, and collaborate with stakeholders to improve data quality and production reliability.

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