Data Engineer - CrewConnect Integration

About the role

This Data Engineer role focuses on building and maintaining data integration pipelines and interfaces between CrewConnect and its upstream and downstream systems. It sits within a cloud-native environment supporting CrewConnect and broader People Domain initiatives, using Snowflake, DBT, AWS and Git-based DevOps.

Key responsibilities

• Design, develop and maintain data integration pipelines and 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 and interface issues and perform root-cause analysis with application and product teams.
• Translate crew and resource scheduling data requirements into scalable integration and data-engineering solutions.

Required profile

• A qualification in Computer Science, Engineering, Information Systems, Data Analytics or equivalent practical experience.
• Advanced experience in SQL development and data modelling for enterprise-scale solutions.
• Strong experience designing and implementing data solutions with Snowflake, and proven experience with DBT for transformation, testing, documentation and deployment.
• Experience with Git-based DevOps practices and CI/CD pipelines.
• Understanding of data governance principles: data quality, metadata, lineage, stewardship and access controls.
• Ability to analyse complex business requirements and turn them into maintainable data solutions, with strong problem-solving and communication skills.

Required skills

• Snowflake and DBT
• SQL and data modelling
• Git-based DevOps and CI/CD pipelines
• ETL/ELT process design
• Exposure to AWS services such as S3 and IAM