Job Description:
• Google Cloud Platform (GCP) and comparable cloud-based data engineering services
• dbt
• Python
• SQL
• ETL/ELT tooling and methodologies
• Data modelling and data product development
• AI-enabled data development
• Testing and validation frameworks
• Master Data Management (MDM), including commercial off-the-shelf and bespoke solutions
• MDM integration and implementation
• Real-time data product patterns
• DevOps tooling and deployment practices
• Expert-level GCP or cloud-based data engineering capability
• Advanced practical experience of dbt, Python data engineering and SQL
• Strong data modelling and ETL/ELT design skills
• Proven end-to-end data product build experience
• Experience applying AI-enabled approaches to data development
• Strong testing, data validation and quality assurance capability
• Data architecture expertise
• MDM and enterprise data architecture experience, including strategy, solution selection, integration and implementation
• DevOps, deployment, governance, and production go-live experience
• Senior technical leadership capable of leading a multidisciplinary feature team