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Join Playtech as a Software Engineer in the Data Delivery Team, focusing on building reliable features and integrations in a dynamic and inclusive environment.
About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
Your influential mission. You will...
- Design, build, test, debug, and operate reliable features in Java, Vue, and other stacks when the product requires it.
- Work on information systems and integrations — APIs, messaging, data consistency — with clear ownership of failure modes and production behaviour.
- Use approved AI-assisted development to move faster; define, review, and validate what you merge (same bar as hand-written code).
- Contribute to automated testing, code review, and documentation that outlive a single chat session.
- Extend and improve existing codebases, not only greenfield demos.
- Collaborate in agile delivery with your lead, product, and peers; take ownership of your areas; help improve team practices safely.
Components for success. You...
- Have professional experience building backend or full-stack software in a commercial or product team.
- Show solid software fundamentals that you can explain, including runtime behaviour, relational databases and SQL, debugging with evidence, applied data structures, and complexity awareness (appropriate collections, performance intuition, not puzzle-interview trivia).
- Demonstrate information systems thinking, including source of truth, concurrent updates, integration partial failure, and idempotency where relevant.
- Write clean, maintainable, and testable code, and contribute meaningfully to code reviews.
- Demonstrate a willingness to learn on the job, including Spring/Vue conventions, Kafka and internal platforms, new frameworks, and approved AI tooling and workflows.
- Take ownership of assigned areas, collaborate effectively as part of a team, and communicate clearly in English.
- Respect data classification and security requirements, and understand what information must not be shared with external AI tools.
- You'll get extra points for...
- Kafka or similar asynchronous integration.
- Experience modernising or extending large, long-lived codebases.
- Full-stack delivery across API and UI.
- Concrete stories of AI-assisted work where you verified outcomes (tests, review, operational safety).
Thrive in a culture that values...
- Professional and fun team environment, where we offer you proper training and knowledge sharing.
- Your personal and professional growth.
- Variety – no day is the same.
- Active lifestyle and provide you with a well-being package.
- Work-life balance, flexibility.
- Fun and engaging company events.