Software Development Team Lead - Regulatory Data

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000.

Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages.

Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events.

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity.

This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling.

As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.

As a Regulatory Data Team Leader, you will lead a cross-functional team in the delivery of regulatory reporting software solutions.

The Data Engineering department is responsible for writing software and reporting systems to communicate jurisdiction-specific information to international regulators.

They are developed to high standards, tuned for performance and reliability with low tolerances for error.

We're using an architecture that includes high-throughput, database-centric distributed applications, that supports batch reporting, integrates with SOAP and REST APIs, and features Windows and web services, as well as web applications.

You will be responsible for ensuring the team's output meets stringent regulatory reporting requirements while upholding high standards of technical design.

This role is eligible for inclusion in the Company’s hybrid working policy.

• Strong experience with GCP and BigQuery, demonstrating a deep understanding of cloud architecture.
• Experience working with various AI tools to enhance workflows and processes, demonstrating a practical application of AI in projects.
• Experience of leading a geographically distributed software delivery team.
• Highly organised and adaptable; adept at prioritisation, delivery, and driving efficiency in a high-throughput and fast-paced environment.