Cloud Data Warehouse Developer — Hybrid (GCP & BigQuery)

Bet365careers; Stoke-on-Trent; Hybride; GBP 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid work policy

Résumé du poste

bet365 is hiring a Data Warehouse Developer to transform complex data landscapes into scalable cloud-based solutions. You will help shape high-impact data platforms, delivering enterprise data warehouse and data catalogue enhancements in a fully cloud-based, AI-first environment.

In a hybrid work setting, you’ll collaborate with data engineers and architects to design resilient data models, build modern pipelines, and ensure real-time accessibility of data for decision-makers across the

Qualifications

• Commercial experience with Google Cloud Platform (GCP).
• Deep knowledge of BigQuery, Cloud Composer, Analytics Hub and BigLake.
• Hands-on with modern Data Lake and DW architectures.
• Dimensional modelling for enterprise DW.
• Experience delivering within cloud-based, AI-first platforms.

Responsabilités

• Manage and optimise Google Cloud Platform components (BigQuery, Composer, Analytics Hub, BigLake).
• Develop and maintain scalable transform processes feeding the central data warehouse.
• Define and implement robust engineering processes and architectural standards across GCP products.
• Produce and maintain clear technical documentation for warehouse assets and pipelines.
• Drive adherence to development standards and best practices throughout the lifecycle.

Connaissances

GCP

BigQuery

Cloud Composer

Analytics Hub

BigLake

AI technologies

AI agents

Data catalog

SQL

DW architectures

Dimensional modelling

Problem solving

Description du poste

bet365 is hiring a Data Warehouse Developer to transform complex data landscapes into scalable cloud-based solutions. You will help shape high-impact data platforms, delivering enterprise data warehouse and data catalogue enhancements in a fully cloud-based, AI-first environment.

In a hybrid work setting, you’ll collaborate with data engineers and architects to design resilient data models, build modern pipelines, and ensure real-time accessibility of data for decision-makers across the