Data Engineer

XPT Software Australia Pty Ltd Contract

Brisbane, Australia

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
• XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
• We have 120+technocrats in Australia working at our clientlocations.
• XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
• We have served100+ clients globally, fulfilling their onsite-offshoreneeds.

Job Description Key JD requirements:

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

The role works across Snowflake, DBT, AWS cloudservices, Git-based DevOps pipelines, enterprise integrations, and reportingecosystems supporting CrewConnect and broader People Domain initiatives.

Data solutions are deployed within cloud-nativeenvironments leveraging modern engineering practices, automation, andgovernance frameworks to support scalable enterprise data products.

Essential Capabilities andExperience

• Advanced experience in SQL development and datamodelling for enterprise-scale solutions.
• Strong experience designing and implementing datasolutions using Snowflake.
• Proven experience with DBT for datatransformation, testing, documentation, and deployment.
• Experience implementing and supporting Git-basedDevOps practices and CI/CD pipelines.
• Strong understanding of data governanceprinciples, including data quality, metadata, lineage, stewardship, andaccess controls.
• Exposure to AWS services such as S3 and IAM.
• Ability to analyse complex business requirementsand translate them into maintainable data solutions.
• Strong problem-solving skills with the ability toinvestigate and resolve data quality, performance, and integration issues.
• Effective communication and collaboration skillsacross business and technical teams.
• A qualification in Computer Science, Engineering,Information Systems, Data Analytics, or equivalent practical experience.