ai data engineer

We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale.

You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability.

This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry.

The Player

You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines.

If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you.

What we can offer YOU

Why would you enjoy working with us? 

• Forward-thinking AI-driven team revolutionizing the sports betting industry. 

• Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions. 

• Competitive benefits, including flexible working options and tangible career growth opportunities. 

• Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure. 

• Collaborate with a world-class group of professionals innovating at the intersection of data and AI. 

• Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events. 

• A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT. 

And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences.