Regulatory Data Engineer: BigQuery, Cloud ETL & AI Tools

bet365

Stoke-on-Trent

On-site

GBP 70,000 - 95,000

Full time

14 days+
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Job summary

bet365 is seeking a Regulatory Data Developer to shape reporting systems for accurate, timely regulatory data. You will transform complex data models into regulator-ready outputs, migrate legacy SQL Server solutions to GCP, and design cloud-native reporting systems in BigQuery.

The role emphasizes accuracy, traceability and performance. You will work on data modeling, pipeline development, validation and automation, with AI-assisted development helping to improve consistency and reduce manual

Qualifications

  • Experience with Google BigQuery and SQL in cloud environments.
  • Strong SQL development skills including complex queries and performance tuning.
  • Familiarity with GCP services (Cloud Storage, Functions, Pub/Sub).
  • Experience building ETL/ELT pipelines and data orchestration tooling.
  • Knowledge of Terraform and infrastructure as code approaches.
  • Exposure to CI/CD pipelines and Git/GitLab for version control.
  • Interest in AI-assisted development tooling such as Claude Code.

Responsibilities

  • Develop and maintain regulatory data submission systems across on-prem SQL Server and GCP BigQuery.
  • Build automated pipelines for ingesting and transforming regulatory data.
  • Support migration of legacy reporting to BigQuery and cloud-native solutions.
  • Implement validation checks, monitoring and alerting for submission accuracy.
  • Collaborate with senior staff to design efficient cloud-native reporting.

Skills

BigQuery
Advanced SQL
GCP services
ETL pipelines
Orchestration tools
SQL Server
Terraform
CI/CD
Git/GitLab
AI tooling

Job description

bet365 is seeking a Regulatory Data Developer to shape reporting systems for accurate, timely regulatory data. You will transform complex data models into regulator-ready outputs, migrate legacy SQL Server solutions to GCP, and design cloud-native reporting systems in BigQuery.

The role emphasizes accuracy, traceability and performance. You will work on data modeling, pipeline development, validation and automation, with AI-assisted development helping to improve consistency and reduce manual

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