bet365
Tech / AI / Software
DataEngineer(GCP)
“Data Engineer (GCP) at bet365. Skills: Google Cloud Platform (GCP), Data Engineering, Regulatory Reporting. 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.
ability to break down complex requirements into simple solutions
What They're Looking For.
Must Have
Experience with Google BigQuery, SQL development experience, with the ability to write complex queries, stored procedures, and performance-tune data-intensive workloads, Familiarity with GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer, Experience with data pipeline development (ETL/ELT) and orchestration tooling, Exposure to Infrastructure as Code such as Terraform, and CI/CD pipelines such as Git, GitLab, Methodical, with high attention to detail and the ability to break down complex requirements into simple solutions, Ability to work to deadlines in a fast-paced, reactive environment, SQL Server experience to support legacy systems during migration
Nice to Have
Interest in 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
transforming internal data models into those required by industry regulators and third parties
supporting migration from on-premise SQL Server systems to GCP
creating new GCP reporting systems
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
working closely with seniors and technical leads on architecture and data modelling
Implementing data validation
and alerting to ensure accuracy
and reliability of regulatory submissions
Leveraging AI tooling
and contributing to the team's automation strategies to reduce manual effort and improve quality
Participating in code reviews and 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
Process & Methodology
Ability to work to deadlines
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