Cloud Data Warehouse Engineer – GCP, AI, Hybrid

Bet365 Company; Manchester; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work policy

Job summary

bet365 is seeking a Data Warehouse Developer to transform complex data landscapes into high-impact solutions, shaping the future of intelligent cloud platforms within our AI-first, cloud-native environment.

You will build and refine high-performance data pipelines feeding the central data warehouse, define engineering standards across GCP, document assets, and collaborate with architects to deliver rapid value to data consumers.

Qualifications

• Commercial expertise with Google Cloud Platform (GCP).
• In-depth knowledge of Google BigQuery, Cloud Composer, Analytics Hub and BigLake.
• Practical exposure to AI technologies and commercial AI agents.
• Proficiency in enterprise data catalogue solutions.
• Relational set-based processing and advanced SQL query development.
• Hands-on background with modern Data Lake and Data Warehouse architectures.
• Dimensional modelling for enterprise data warehouses.
• Decisive problem-solving capabilities when delivering against tight deadlines.

Responsibilities

• Transform complex data landscapes into high-impact solutions.
• Develop and maintain scalable transform processes feeding into 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 practice throughout the engineering lifecycle.

Skills

GCP

BigQuery

Cloud Composer

Analytics Hub

BigLake

AI tech

Data catalog

SQL

Data Lake/Warehouse

Dimensional modelling

Problem solving

Job description

bet365 is seeking a Data Warehouse Developer to transform complex data landscapes into high-impact solutions, shaping the future of intelligent cloud platforms within our AI-first, cloud-native environment.

You will build and refine high-performance data pipelines feeding the central data warehouse, define engineering standards across GCP, document assets, and collaborate with architects to deliver rapid value to data consumers.