Data Engineer GCP

In-scope technologies/products: 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 Skillsets required: 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 Scope of services: Improve the quality, richness, and consumption-readiness of FDP data. Deliver FDPs end to end, from ODP selection through design, engagement and shaping, development, DevOps, testing, validation, governance, deployment and go-live. Define and support MDM architecture and strategy. Assess and implement commercial off-the-shelf MDM products where ..... full job details .....