At a Glance
- Tasks: Design and maintain data pipelines, ensuring quality and integrity of data.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on modern engineering practices.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Experience in SQL, Snowflake, and data modelling required.
The predicted salary is between 90000 - 110000 $ per year.
- Design, develop and maintain data integration pipelines/interfaces between Crew Connect 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 Crew Connect 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 Dev Ops pipelines, enterprise integrations, and reporting ecosystems supporting Crew Connect 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 Dev Ops 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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Data Engineer in Brisbane employer: XPT Software Australia
XPT Software Australia is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about learning and development. Located in a vibrant tech hub, we offer comprehensive employee growth opportunities, including access to cutting-edge training resources and mentorship programs. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and encourages professional advancement.
