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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