Data Engineer - Pipelines & Analytics (Contract) in Melbourne

Data Engineer - Pipelines & Analytics (Contract) in Melbourne

Melbourne Temporary 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Build and maintain secure data pipelines for reporting and analytics.
  • Company: Digital Stack, a forward-thinking tech company in Melbourne.
  • Benefits: Competitive pay, flexible hours, and opportunities for skill development.
  • Other info: Dynamic work environment with potential for contract extension.
  • Why this job: Join an agile team and work on exciting AI and reporting features.
  • Qualifications: Experience in data engineering and a passion for analytics.

The predicted salary is between 63000 - 77000 $ per year.

Digital Stack in Melbourne is seeking a data engineer to build and maintain secure, reliable data pipelines and datasets that support reporting and analytics.

You will join an in-house development team using agile methodologies to enable new AI and Reporting features.

The role focuses on integrating data from applications, designing data models and warehouses, and implementing quality checks while pursuing performance improvements and cost efficiency.

Data Engineer - Pipelines & Analytics (Contract) in Melbourne employer: LT Network Pty

LT Agency is an exceptional employer located in the vibrant suburb of Hawthorn, Melbourne, offering a dynamic work culture that fosters collaboration and innovation. With a strong emphasis on personal development, employees have access to specialised training workshops and opportunities for knowledge sharing, ensuring continuous growth in their careers. The agency's commitment to maintaining a supportive environment, coupled with the chance to work on cutting-edge web development projects, makes it an attractive place for talented individuals seeking meaningful and rewarding employment.

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Contact Details:

LT Network Pty Recruitment Team

We think you need these skills to ace Data Engineer - Pipelines & Analytics (Contract) in Melbourne

Python
Data Engineering
Problem-Solving Skills
Communication Skills
SQL
Data Pipeline Development
API Integration