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DataEngineer(GCP)
“Data Engineer (GCP) at bet365. Skills: GCP, Google BigQuery, SQL development, data pipeline development, ETL/ELT. creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP). building and maintaining near real-time and batch reporting systems to fulfil regulatory requirements”
What You'll Achieve.
improve efficiency, consistency and reliability across the team's processes; reduce manual effort and improve quality
Industry & Context.
break down complex requirements into simple solutions
What They're Looking For.
Must Have
Google BigQuery, SQL development experience, GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer, data pipeline development (ETL/ELT) and orchestration tooling, Infrastructure as Code such as Terraform, CI/CD pipelines such as Git, GitLab, SQL Server experience
Nice to Have
AI-assisted development tooling, such as Claude Code
What You'll Do.
and maintaining regulatory reporting systems on Google Cloud Platform (GCP)
building and maintaining near real-time and batch reporting systems to fulfil regulatory requirements
transform internal data models into those required by industry regulators and third parties
support our continued migration from on-premise SQL Server systems to GCP
developing new cloud-native solutions
exploring AI-driven development and automation to improve efficiency
consistency and reliability
Developing and maintaining regulatory data submission systems
both existing on-premise and new cloud-based solutions in GCPigQuery
Building and maintaining automated data pipelines for ingestion
and loading of regulatory data
Supporting the migration of legacy SQL Server solutions to BigQuery
Implementing data validation
and alerting to ensure accuracy
and reliability of regulatory submissions
Leveraging AI tooling
and contributing to the team's automation strategies
Participating in code reviews
adhere to departmental standards and the development process
Conducting QA to ensure solutions are accurate
Creating and maintaining relevant documentation
How You'll Work.
Team & Collaboration
working closely with seniors and technical leads on architecture and data modelling; Collaborating with other team members to deliver high-quality solutions within required timeframes
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