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.