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XPT Software Australia Pty Ltd

Data Engineer

XPT Software Australia Pty Ltd Greater Brisbane, Queensland, Australia

IT Services and IT Consulting · 51-200 employees

7 h ago
data-engineer Senior (5-10 yrs) Contractor Australia
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About the role

Design, develop, and maintain data integration pipelines and interfaces between CrewConnect and various systems. Troubleshoot data issues and translate complex resource scheduling requirements into scalable data engineering solutions.

What they look for

SQL Data Modelling Snowflake DBT Git DevOps CI/CD Data Governance AWS S3 IAM ETL ELT Data Pipelines Data Quality Problem-solving

Requirements

Requires advanced experience in SQL development, data modeling, and Snowflake implementation. Candidates must have proven experience with DBT, Git-based DevOps practices, and a strong understanding of data governance principles.

Full description

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.

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