Data Engineer

hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role.

Join us in a growing data function where you will help us innovate and build intelligent data systems across our global platforms.

The AI & Automation department focuses on transforming complex data into intelligent, scalable solutions. Operating across a vast technical landscape, the team builds robust infrastructure that supports critical regulatory requirements and drives process efficiency. By leveraging advanced cloud technologies and machine learning, AI & Automation ensures data integrity while exploring new ways to optimise performance.

In this role, you will maintain and evolve essential data infrastructure, transitioning from established SQL Server environments to a modern GCP cloud platform. You will solve real-world technical challenges, contribute to process automation and develop your expertise in a highly collaborative setting. We offer the agility of a startup with the stability of a global business, providing the perfect environment to advance your data career.

The listed salary for this position is $90,000-$120,000 annually.

Main Responsibilities:

• Lead the end-to-end delivery of regulatory data projects from gathering requirements to implementation.

• Design, develop and maintain robust T-SQL stored procedures and SSRS reports to support core business operations.

• Shadow senior colleagues to gain hands-on exposure to GCP environments with a clear progression towards independent cloud development.

• Leverage AI-powered tools proactively to accelerate development cycles and streamline coding tasks.

• Investigate and resolve complex data issues to ensure high data integrity and minimal disruption to critical processes.

• Partner with cross-functional teams to provide clear status updates and manage project timelines effectively.

• Contribute to the knowledgebase and help evolve development standards to ensure consistency across all data solutions.

• Proficiency in SQL Server 2014 or later
• Knowledge of the MSSQL BI Stack including SSRS and SSIS
• Strong SQL capabilities with a focus on stored procedures
• Exposure to GCP, Big Query and Looker
• Familiarity with Gitlab or alternative source control platforms