Key JD requirements: /n /n
/n Design, develop and maintain data integration pipelines/interfaces between CrewConnect and upstream/downstream systems. /n
/n Analyse existing data flows, mappings and dependencies and support interface enhancements. /n
/n Build and support reliable data ingestion, transformation and validation, ensuring data quality and integrity. /n
/n Troubleshoot data/interface issues and perform root-cause analysis with application/product teams. /n
/n Translate crew/resource scheduling data requirements into scalable integration and data-engineering solutions. /n /n /n Technical Workplace: /n 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. /n Data solutions are deployed within cloud-native settings leveraging modern engineering practices, automation, and governance frameworks to support scalable enterprise data products. /n /n Essential Capabilities and Experience /n /n
/n Advanced experience in SQL development and data modelling for enterprise-scale solutions. /n




/n Strong experience designing and implementing data solutions using Snowflake. /n
/n Proven experience with DBT for data transformation, testing, documentation, and deployment. /n
/n Experience implementing and supporting Git-based DevOps practices and CI/CD pipelines. /n
/n Robust understanding of data governance principles, including data quality, metadata, lineage, stewardship, and access controls. /n
/n Exposure to AWS services such as S3 and IAM. /n
/n Experience designing scalable data pipelines and ETL/ELT processes. /n
/n Ability to analyse complex business requirements and translate them into maintainable data solutions. /n
/n Solid problem-solving skills with the ability to investigate and resolve data quality, performance, and integration issues. /n
/n Effective communication and collaboration skills across business and technical teams. /n
/n A qualification in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent practical experience. /n

📌 Data Engineer Brisbane
🏢 Infosys APAC
📍 Brisbane