Product Engineer

Who We Are Allwyn Lottery Solutions is a global leader in digital lottery and gaming solutions and a proud subsidiary of Allwyn Entertainment Group , a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. Our mission is to make play better for all by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes. What We Do We design and deliver innovative, scalable, and secure lottery solutions that evolve with the needs of players and operators. Our flagship platform, Genesis , provides a powerful foundation for lotteries worldwide, featuring: Player Account Management (PAM) for secure and seamless player experiences Draw-Based Games (DBG) for classic lottery draws Nexus Aggregator & Apollo RGS for e-Instants and Fast Play™ games Web & mobile applications for an enhanced and modern user experience Command Admin Portal for streamlined operations Optex Promotions to reward and engage players With a focus on cloud-based technologies, AI-driven analytics, and responsible gaming , we empower lotteries to reach new players, expand engagement, and achieve sustainable growth in an evolving digital landscape.At Allwyn Lottery Solutions, you’ll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery. At Allwyn Lottery Solutions, data is central to how we help lotteries grow, innovate, and deliver exceptional player experiences. Our Business Intelligence and Data team is building the next generation of products that allow both internal teams and customers to interact with data, analytics, AI, and operational services in powerful yet intuitive ways. We are building two flagship products: A cloud-native operations and analytics platform that provides a single pane of glass across our data platform, AWS services, reporting capabilities, operational monitoring, analytics tooling, and self-service data access. A next-generation, AI-native Customer Data and Experience Platform (CDXP) that leverages large language models, automation, and modern data architecture to transform how users discover insights, build audiences, orchestrate experiences, and interact with data. As a Product Engineer, you will play a central role in designing, building, and evolving these products. You will work across the full stack, from backend services and data integrations to user experience and interface design. You will collaborate closely with Data Engineers, Platform Engineers, BI Developers, Architects, and Product stakeholders to transform complex technical capabilities into simple, intuitive, and highly effective user experiences. We favour simplicity over complexity. Our preferred stack is Django, HTMX, Alpine.js, and modern web standards. We deliberately avoid unnecessary framework complexity and instead focus on building robust, maintainable products that deliver value quickly. This role is best suited to engineers who enjoy ownership, autonomy, and solving real business problems. We are a lean team and expect engineers to take ideas from concept to production, making pragmatic decisions along the way. We actively embrace AI-assisted development, but we are looking for engineers with strong fundamentals, excellent coding skills, and a deep understanding of how the web works. Department Part of the Global BI and Data Product Unit. The team's mission is to build data products, analytics capabilities, customer intelligence solutions, and AI-powered experiences that help lotteries make better decisions and create exceptional customer experiences. Key Accountabilities Design, build, and maintain modern web applications that provide intuitive access to data, analytics, AI capabilities, and operational services. Own features end-to-end, from technical design and implementation through deployment, monitoring, and continuous improvement. Build robust backend services and APIs using Python and Django. Develop responsive and highly interactive user interfaces using modern web technologies while maintaining simplicity, performance, and accessibility. Collaborate closely with Data Engineers and Platform Engineers to integrate analytics, reporting, AI, and cloud platform capabilities into user-facing products. Design and implement advanced product capabilities including dashboards, reporting, collaborative workflows, SQL exploration tools, data visualisation, and AI-powered user experiences. Contribute to product direction, technical architecture, and engineering best practices. Build software that is secure, scalable, observable, and maintainable. Leverage AI-assisted development tools effectively while maintaining high engineering standards and code quality. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Technical Skills: Required Strong software engineering experience with Python, including significant experience building and operating production Django applications. Deep understanding of Django architecture and ecosystem, including: ORM and query optimisation Authentication and authorisation Admin customisation Middleware Forms and validation Security best practices Testing Application architecture and maintainability Strong understanding of web fundamentals including HTTP, HTML, CSS, JavaScript, browser behaviour, web security, caching, and performance optimisation. Experience building data-intensive applications, internal platforms, operational tooling, dashboards, reporting solutions, or SaaS products. Strong experience with PostgreSQL and relational data modelling. Experience designing and consuming APIs and integrating with external services. Experience developing modern user interfaces using server-side rendering and lightweight frontend technologies. Experience working with cloud platforms and deploying production web applications. Strong understanding of testing, observability, debugging, and software quality practices. Ability to work confidently across the full application stack and independently deliver production-ready features. Technical Skills: Desirable Experience with HTMX and Alpine.js. Experience building products that integrate with analytics, data platforms, BI tooling, or machine learning services. Experience integrating LLMs, AI services, agentic workflows, or natural language interfaces into web applications. Experience with AWS and cloud-native architectures. Experience with asynchronous processing, background job frameworks, and event-driven architectures. Experience building collaborative applications, self-service platforms, or developer-focused products. Required Competencies Strong ownership mindset and the ability to independently drive work from concept to delivery. Comfortable operating in a lean team where engineers are expected to contribute across multiple disciplines. Pragmatic decision-maker who values outcomes over unnecessary complexity. Excellent problem-solving skills and ability to work effectively in ambiguous environments. Product-oriented mindset with the ability to balance technical excellence, user experience, and business value. Strong communication and collaboration skills. Curious, adaptable, and motivated by continuous learning. Passion for building products that users genuinely enjoy using. Comfortable leveraging AI tools to improve productivity while maintaining strong engineering judgement and craftsmanship. Ability to challenge assumptions, propose improvements, and influence technical direction. At Allwyn LS, we know that great delivery starts with great people. Here’s what we offer to support you and help you thrive: A dynamic team of experts who’ll support your growth and share your ambition A diverse, international environment full of opportunity and challenge A comprehensive onboarding experience to set you up for success Competitive salary with a performance-based bonus Health and life insurance for you and your family Well-being allowance Extensive leave policy to support work-life balance Unlimited training resources and tools to support your development 360° feedback framework to help you grow your impact Employee Assistance Programme with professional counselling support Flexible working options (fully remote or hybrid) A modern tech setup including Apple equipment and best-in-class tools A stable, enjoyable working environment where delivery is valued We’re proud to be an Equal Opportunity Employer. Allwyn values diversity and inclusion and welcomes applications from all backgrounds. We make employment decisions based on business needs, role requirements, and individual qualifications - never on age, disability, gender identity, sexual orientation, pregnancy, race, religion, or background. In 2025, Allwyn Lottery Solutions in Greece was recognised as one of the Great Place to Work® Hellas Best Workplaces™ for Women, highlighting our commitment to building inclusive, supportive environments where all employees can thrive. Privacy Disclaimer By clicking "Apply" for this Job, you agree that you have read and accepted our Privacy Statement relating to job applicants and that you provide your consent for the processing of your personal data for the purposes described therein.