Data Engineer

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.