Marketing Automation Engineer

Allwyn Lottery Solutions is a subsidiary of Allwyn Entertainment Group – a leading multi-national lottery operator with a market-leading presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. We, in Allwyn LS, build better lotteries that return more to good causes by focusing on innovation, technology, efficiency, and safety across a growing casual gaming entertainment portfolio.

Our purpose is to make play better for all and our mission is to be a trusted and proactive guardian of all that is good in lotteries and casual gaming entertainment. We believe in changing lives…a little or a lot…but always for the better.

Allwyn Lottery Solutions is the global leader in designing and delivering captivating digital gaming solutions for lotteries worldwide. With our extensive industry experience, vast knowledge base, and diverse talent, we empower lotteries to create winners and support communities. Our collective expertise enables our clients to reach new players, expand brand engagement, and achieve long-term growth through sustainable and impactful technical solutions. Our differentiating factor lies in our ability to seamlessly engineer technical solutions that align with our client's visions. Our vision is to be a leading global lottery-led entertainment platform by making gaming better for all, starting from the foundations and enabling our team to blaze new trails and serve as the ground for empowering our clients to achieve sustainable, long-term growth.

We’re looking for a Marketing Automation Engineer to play a key role in integrating our data platform, AWLS products, and marketing deployment blueprints. While Braze is our preferred customer engagement platform—and you’ll be the in-house expert driving innovation and value from it—you’ll also support and work with other tools as needed.

You’ll bring strong technical skills to help build and enhance personalisation, templates, landing pages, campaign workflows and API integrations. Working closely with frontend engineers, data engineers and analysts, you’ll optimise marketing automation efforts and contribute to campaign success. You'll also support and mentor users across the group—including customers—by running workshops, assisting with campaign execution, and helping drive effective utilisation of Braze and other marketing technologies.

Purpose of Role

• Lead the development and integration of marketing automation capabilities across platforms
• Drive adoption and utilisation of data-driven marketing strategies internally and with customers
• Act as the in-house expert on Braze while supporting the effective use of other marketing tools
• Contribute to the digital marketing roadmap and overall strategy
  Champion best practices, standardisation, and scalability of marketing automation development
• Deliver robust, resilient, and high-performing solutions
• Mentor, support and train internal marketing teams and external customers

Department

Part of the Global BI and CRM product unit. The team’s objective is to build a full omni channel analytics and CRM capability.

Requirements

Skills & Experience

• Hands-on experience with at least one marketing automation platform (Braze preferred)
• Proven track record in developing high-volume, data-driven marketing campaigns
• Strong experience in building, customising, and optimising email templates
• Solid front-end skills, including HTML, CSS, JS
• Experience managing end-to-end campaign delivery, from planning and setup to execution and optimisation
• Comfortable working with APIs and integrating marketing platforms with data sources
• Experience collaborating with cross-functional teams (e.g., data, frontend, analytics)
• Experimentation: Familiarity with A/B testing frameworks and campaign performance measurement
• Data architecture awareness: Understanding of how marketing tools fit into broader data ecosystems (e.g., CDPs, event streaming, DWHs)
• Event-driven architecture: Familiarity with real-time data flows and event tagging (e.g., Braze Currents, Segment, Snowplow)
• Tag management platforms: Experience with tools like GTM or server-side tagging to capture marketing data
• Familiarity with CDPs like Segment, mParticle, or similar

Characteristics

• Problem Solving: Leads others to solve unique and complex problems with a focus on business impact
• Passionate: about trends and technologies in the digital analytics space and able to articulate the business benefits they offer
• Continuous Improvement: Develops strategies to address iterative improvement
• Influence: Uses industry experience and analytics to authoritatively make recommendations and drives those through
• Decision Making: Makes decisions guided by both internal policies and external industry guidelines in non-standard situations. Develops business or discipline specific rationale that impacts resource allocation, programme or project support and direction
• Project Management: Leads projects or programmes with significant risk and complexity to achieve milestones and objectives.Develops the strategy for project execution