Data Engineer – Business Intelligence Accelerator

Carl Zeiss Pty Ltd

Multiple Locations
Design and implement data architecture
Develop and optimize data pipelines
Ensure data quality and reliability
Design and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs

Job Summary

  • Design and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs.
  • Collaborate with data analysts, data engineers and other stakeholders to deliver data solutions that drive insights and support business needs.
  • Implement data governance practices, ensuring data security, privacy, and compliance with industry standards and regulations (e.g., GDPR).

Matching Summary

Design and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs.

Skills & Requirements

Must-have

  • Design and implement data architecture
  • Develop and optimize data pipelines
  • Ensure data quality and reliability
  • Python, SQL, Pyspark
  • DevOps implementation (Azure Devops, Jenkins)
  • Implement data governance practices
  • Support production environment

Nice-to-have

  • Mentor junior engineers
  • Continuous improvement of practices
  • Work with technical and non-technical stakeholders

Key Requirements

  • At least 3 years of experience
  • Degree in MINT field or equivalent
  • Experience in complex data pipelines
  • Extensive clean, maintainable, efficient code development
  • Strong communication skills in English

Work Rights

Not specified

Tailored Resume

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