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Data Engineer

Exclusive opportunity

Hybrid

Data Engineer

Duxxel

Data Engineer

Skills

SQL QueriesSnowflakeData AnalysisAWSdbt

19 hours ago

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Important information


Contract type:

Freelance / Contract

Location:

Brisbane QLD, Australia

Work mode:

Hybrid

Published on:

22 October 2026

What they need


Key JD requirements:

  • Design, develop and maintain data integration pipelines/interfaces between CrewConnect and upstream/downstream systems.
  • Analyse existing data flows, mappings and dependencies and support interface enhancements.
  • Build and support reliable data ingestion, transformation and validation, ensuring data quality and integrity.
  • Troubleshoot data/interface issues and perform root-cause analysis with application/product teams.
  • Translate crew/resource scheduling data requirements into scalable integration and data-engineering solutions.

Technical Environment:

The role works across Snowflake, DBT, AWS cloud services, Git-based DevOps pipelines, enterprise integrations, and reporting ecosystems supporting CrewConnect and broader People Domain initiatives.

Data solutions are deployed within cloud-native environments leveraging modern engineering practices, automation, and governance frameworks to support scalable enterprise data products.

Essential Capabilities and Experience

  • Advanced experience in SQL development and data modelling for enterprise-scale solutions.
  • Strong experience designing and implementing data solutions using Snowflake.
  • Proven experience with DBT for data transformation, testing, documentation, and deployment.
  • Experience implementing and supporting Git-based DevOps practices and CI/CD pipelines.
  • Strong understanding of data governance principles, including data quality, metadata, lineage, stewardship, and access controls.
  • Exposure to AWS services such as S3 and IAM.
  • Experience designing scalable data pipelines and ETL/ELT processes.
  • Ability to analyse complex business requirements and translate them into maintainable data solutions.
  • Strong problem-solving skills with the ability to investigate and resolve data quality, performance, and integration issues.
  • Effective communication and collaboration skills across business and technical teams.
  • A qualification in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent practical experience.

Pay: From $120,000.00 per year

Work Location: Hybrid remote in Brisbane QLD

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