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MABASA / LINKEDIN

Data Engineer

XPT Software

Location
Brisbane, Queensland, Australia
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**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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