Data Engineer

Job Description

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.