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.

The skills and experience to help you perform in the role:
• 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