Data Engineer: Build Scalable Pipelines & Data Lakes

To The New

Australia

Remote

AUD 90,000 - 120,000

Full time

14 days+

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Job summary

To The New is seeking a data engineer to drive end-to-end data engineering projects, from gathering requirements to delivering scalable solutions. You will build and maintain robust data pipelines using SQL, ETL frameworks, and modern cloud-native tools, while shaping data lakes and data warehouses for meaningful insights.

You will collaborate with cross-functional teams to translate business needs into technical specifications, participate in code reviews, and ensure data quality, governance,

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related discipline (preferred).
  • Experience with data pipelines, data lakes, and data warehouses.

Responsibilities

  • Contribute to end-to-end data engineering projects from requirements to deployment.
  • Build and maintain high-performance data pipelines using SQL, ETL frameworks, and cloud-native tools.
  • Develop and manage data lakes and data warehouses with efficient ingestion and transformation.
  • Collaborate with cross-functional teams to translate business requirements into technical specs.
  • Participate in code reviews and maintain clean, well-documented code.
  • Stay updated with cloud data platforms (AWS/Azure/GCP) and Big Data technologies.

Skills

SQL
ETL
Cloud platforms

Education

Bachelor’s degree in Computer Science, Engineering, or related discipline

Tools

AWS
Azure
GCP

Job description

To The New is seeking a data engineer to drive end-to-end data engineering projects, from gathering requirements to delivering scalable solutions. You will build and maintain robust data pipelines using SQL, ETL frameworks, and modern cloud-native tools, while shaping data lakes and data warehouses for meaningful insights.

You will collaborate with cross-functional teams to translate business needs into technical specifications, participate in code reviews, and ensure data quality, governance,

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