[Hiring] Data Engineer GCP @bet365

Role Description

As a Data Engineer, you will play a key role in creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP).

• The Regulatory Data team is responsible for building and maintaining near real-time and batch reporting systems to fulfill regulatory requirements.
• The team utilizes complex business logic to transform internal data models into those required by industry regulators and third parties.
• You will support the migration from on-premise SQL Server systems to GCP as the team creates new GCP reporting systems.
• Develop new cloud-native solutions and explore AI-driven development and automation to improve efficiency, consistency, and reliability across the team's processes.

Qualifications

• 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.
• Interest in AI-assisted development tooling, such as Claude Code.
• Ability to work to deadlines in a fast-paced, reactive environment.
• SQL Server experience to support legacy systems during migration.

Requirements

• Developing and maintaining regulatory data submission systems, both existing on-premise and new cloud-based solutions in GCP/BigQuery.
• Building and maintaining automated data pipelines for ingestion, transformation, 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, monitoring, and alerting to ensure accuracy, consistency, and reliability of regulatory submissions.
• Leveraging AI tooling, such as Claude Code, and contributing to the team's automation strategies to reduce manual effort and improve quality.
• Participating in code reviews and adhering to departmental standards and the development process.
• Conducting QA to ensure solutions are accurate, efficient, and performant.
• Creating and maintaining relevant documentation.
• Collaborating with other team members to deliver high-quality solutions within required timeframes.

Benefits

• Creating an environment where everyone feels welcome, respected, and valued.
• Opportunities for growth and development, regardless of background.
• Commitment to continuous improvement and striving to be better.