Data Engineer
Posted
Summary
Contract Data Engineer in Brisbane designing, building, and maintaining data integration pipelines for CrewConnect crew/resource scheduling, spanning Snowflake, DBT, AWS, and Git-based CI/CD, with a focus on data ingestion, transformation, quality, and governance.
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.