Data Engineer

XPT Software Australia; Brisbane; On-site; AUD 100,000 - 150,000; Full time

Job summary

XPT Software Australia is seeking a data integration specialist to design, develop, and maintain data pipelines between CrewConnect and upstream/downstream systems. The role emphasizes data ingestion, transformation, validation, and ensuring data quality across cloud-native environments.

You will analyse data flows and dependencies, implement scalable ETL/ELT processes, and collaborate with product teams to resolve data/interface issues while aligning with governance, security, and compliance

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL development

Data modelling

Data governance

AWS experience

ETL/ELT design

Data quality

Data integration

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent

Tools

Snowflake

DBT

Git-based DevOps

Job description

• 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.

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.