GCP Data Engineer

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:

The requirement is for two UK-based feature teams, each comprising six resources and led by a Senior Lead Data Engineer. All team members must be based in Bristol or Manchester; London-based delivery is specifically excluded. The teams are required to start immediately, and suppliers must propose resources who are available and capable of being onboarded without delay.

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 appropriate. Design and develop bespoke MDM solutions. Deliver MDM integration and implementation activities. Design and implement real-time data product patterns. Work within the applicable delivery, architecture, engineering, security and governance standards. Provide experienced, delivery-ready practitioners; proposals based on academic exercises, speculative hiring or resources requiring extended mobilisation will not be accepted.

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