GCP data engineer
EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED
Manchester, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Cloud Database
Data Architecture
Data Validation
Information Engineering
Extract Transform Load (ETL)
Database Development
DevOps
Python (Programming Language)
Standard Sql
Google Cloud
DevOps Tools - Open-source
+2 more
Real Time Data
Data Management
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, 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.
Requirements
- 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
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