Data Engineer
Listed on 2026-02-16
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Engineering
Software Engineer, Data Engineer
Overview
On average it takes 5 minutes to apply for this role.
Kick-start your career in the online gaming world and experience the very latest in technology and innovation. Do you see yourself as one of those “out-of-the-box thinkers”, “Technical masterminds”, “Outstanding creatives”, or “Mind-boggling number crunchers”? If so, we want to welcome you to the Betway family and celebrate what makes you unique!
Our global customer base is exploding and we need your skills to support us on this exciting journey! Don’t look back and submit your application before the opportunity passes you by.
Role detailsJob title: Data Engineer
Department: Data & AI
Reporting to: Lead Data Engineer
Who we areWe’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands.
At Betway, we’re driven by our shared vision to become the global leader in the online sports betting and casino industry. Our people are forward-thinking team-players who thrive on a collective diversity of skills and backgrounds. Founded in 2006, our teams in Guernsey, London, Malta, Germany, Portugal and Spain are constantly expanding and evolving.
Who we’re looking forWe’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Betway, 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 youWe’re on a mission to build a near real-time data warehouse for our business, and we believe your unique skills, passion, and drive will play a key role in helping us achieve that vision.
This is an excellent opportunity for someone with a strong data background, a genuine interest in cloud technologies, and the ambition to grow in this space. We’re committed to fostering a culture of continuous learning—regularly running proof-of-concepts, sharing internal demos, hosting workshops, and attending external conferences.
Our data team brings together a broad range of expertise, including real-time event streaming, long-term analytics in our data lake, development of highly transactional RDBMS systems, data warehousing, data science, and cloud engineering. We’re always pushing ourselves—and each other—to elevate our craft.
What you’ll be doingAs part of this role, you will:
- Collaborate within an agile Data Engineering team, contributing to planning, delivery, and continuous improvement.
- Work closely with technical leads and business stakeholders to design and deliver scalable, high-performance data solutions.
- Share knowledge and grow alongside your peers through pair programming, workshops, mentoring, and collaborative problem-solving.
- Leverage the latest AI tools and techniques to enhance development workflows and improve team efficiency.
- Design, build, and maintain robust ETL services and real-time data pipelines, ensuring reliability, scalability, and high data quality.
- Deliver both functional and non-functional requirements, taking ownership of implementation quality and alignment with best practices.
- Develop and support CI/CD pipelines, embedding automated testing to ensure consistent, high-quality releases.
This job description outlines the core responsibilities of the role but is not exhaustive. You may be asked to take on additional reasonable duties to support broader business objectives.
Essential skillsThe necessary skills we require for this role include:
- Strong verbal and written communication skills, with the ability to convey complex ideas clearly and effectively
- Experience working collaboratively in cross-functional teams, with a focus on achieving shared goals
- Experience in managing multiple projects simultaneously, with a track record of delivering on time and within scope
- Strong attention to detail, ensuring high standards of quality in all outputs
- Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations
- Demonstrable understanding of data processing using SQL or…
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