Data Engineer

Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

Who we are

We’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands.

At DigiOutsource, we bring passionate people and innovative tech together to create market-leading online gaming solutions. Our multidisciplinary teams are passionate about products, customer experience and security. We’re empowered to achieve the ultimate in high-performance gaming experiences using the best technology available.

Who we’re looking for

We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At DigiOutsource, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish, and your career can soar.

Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary.

Why we need you

We’re on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision.

As a Data Engineer within our Fintech ecosystem, you’ll focus on building and maintaining the data pipelines and processes that power our financial analytics, reporting, and decision-making. You’ll work with data from diverse systems—ranging from transactional platforms to customer engagement tools ensuring it is reliable, accessible, and optimized for high-impact use.

This role is essential to support our transition to modern data practices, including cloud-native architectures and real-time processing, while maintaining the continuity and stability of our on-premises operations. Your work will directly enable smarter, faster financial services and help shape the future of data in Payments.

What you’ll be doing

• Developing and maintaining data pipelines to support real-time and batch processing.

• Writing and optimizing SQL queries, stored procedures, and scripts for data processing.

• Supporting ETL/ELT workflows for data integration and transformation.

• Collaborating with team members to integrate data from various sources into centralized systems.

• Implementing and managing data streaming solutions using platforms like Kafka or RabbitMQ.

• Ensuring data quality and reliability across all pipelines and processes.