Senior Data Engineer: Scalable Pipelines & AI-Driven Data

Nine Entertainment Co

Sydney

Hybrid

AUD 150,000 - 210,000

Full time

6 days ago
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Job summary

Nine is Australia’s largest locally owned media company with a broad portfolio of mastheads including The Australian Financial Review, The Sydney Morning Herald, and The Age. We are seeking a Senior Data Engineer to join the Enterprise Data team in North Sydney, focusing on scalable data pipelines and data publishing strategies.

You will partner with Product and cross-functional teams to simplify data systems, leverage AI tools for efficiency, and deliver high-quality data products that inform

Qualifications

  • A bachelor's or master's degree in Computer Science, Software Engineering, or a related technical field is highly desirable.
  • Deep understanding of cloud migration strategies, best practices, and potential pitfalls.
  • Fluency in Python and SQL, with solid data warehousing concepts.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and models feeding the data warehouse.
  • Lead and guide solution designs, documenting designs to share knowledge.
  • Champion engineering best practices across coding, DevOps, and metadata standardizations.
  • Integrate emerging technologies and AI tools to aid coding, profiling, and testing.
  • Collaborate with stakeholders and adjacent teams to meet end-user requirements.

Skills

Python
SQL
Leadership
Communication
Problem-solving

Education

Bachelor's or Master's in CS/Software Eng

Tools

Apache Airflow
dbt
Terraform
Cloud Build
Concourse CI

Job description

Nine is Australia’s largest locally owned media company with a broad portfolio of mastheads including The Australian Financial Review, The Sydney Morning Herald, and The Age. We are seeking a Senior Data Engineer to join the Enterprise Data team in North Sydney, focusing on scalable data pipelines and data publishing strategies.

You will partner with Product and cross-functional teams to simplify data systems, leverage AI tools for efficiency, and deliver high-quality data products that inform

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