Principal Data Engineer II

We are Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 17 markets.

We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.  

We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?

Let’s start with the role

As a Principal Data Engineer Level 2, you will lead the design and development of a next-generation, high-performance analytics platform that enables real-time insights and user interactions. With a deep understanding of both data engineering and analytics, you will determine the best-fit technologies and architectures to support our analytics ecosystem, ensuring high concurrency, low latency, and robust scalability. This role focuses on driving technical excellence and setting a strategic direction for our technology stack, making impactful decisions to enable our teams to deliver cutting-edge solutions.

As a Principal Data Engineer II you will:

• Architect & Innovate: Design a secure, scalable, and high-performance analytics platform, enabling real-time data processing and low-latency data access to support interactive user experiences and internal analytics.
• Strategic Technical Roadmap: Define the long-term technical roadmap for the analytics platform unencumbered by the more time-sensitive business needs of the product roadmap.
• Drive Technical Excellence: Establish and uphold best practices in data architecture, data modeling, and technology selection, ensuring adherence to data governance standards and leading FinOps initiatives for cost-effective, resource-efficient solutions.
• Mentorship: Collaborate with Principal Analytics and Data Engineers and other senior engineers to share insights, tackle complex technical challenges, and promote best practices across teams, fostering a culture of continuous learning and technical growth.
• Optimize Performance: Lead efforts to identify and resolve bottlenecks, ensuring the analytics platform is optimized for cost efficiency, reliability, and high-speed data access.
• Seamless Integration: Work cross-functionally with teams and stakeholders to embed the analytics platform within the organization’s broader data architecture, ensuring smooth interoperability across systems.
• Stay Ahead: Keep pace with emerging technologies, leveraging innovations to enhance the analytics platform’s capabilities and align with strategic goals.

What You’ll Bring:

• 10+ years of experience in data engineering, with deep expertise in data architecture, distributed systems, and large-scale analytics platforms
• Proven track record in designing, implementing, and optimizing data pipelines, real-time processing systems, and microservices architectures, with a solid understanding of data modeling and governance principles
• Strong experience with Azure data services, Databricks, Delta Lake, and related analytics technologies, as well as experience with message brokers such as Kafka or RabbitMQ and messaging patterns
• Proficiency in DevOps practices and containerization technologies, and an understanding of FinOps principles to drive cost-effective and resource-efficient solutions
• Ability to work independently on highly complex tasks, keeping in mind aspects like performance, security, observability, and scalability, with a proactive approach to problem-solving
• Passion for monitoring, troubleshooting, and optimizing production systems, making data-driven decisions to enhance platform reliability and performance
• Excellent communication and collaboration skills, capable of conveying technical insights effectively to a diverse audience, from stakeholders to cross-functional technical teams, providing technical guidance and vision
• Enthusiasm for staying up-to-date on emerging technologies and applying them to drive innovation within the analytics platform

Nice to Have:

• Bachelor’s degree in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering) or equivalent industry experience.
• Experience with the Microsoft BI stack (SQL Server, SSRS, SSAS).

Kaizen Gaming Perks

🕑 We offer both work from the office (hybrid model) & remote working options.
🏃 A buddy will support you with your onboarding.
💸Competitive salary package and bonus scheme.
👩‍⚕️ Health and life insurance for you and your family.
📚 Unlimited access to Udemy & continuous training for all your learning and development needs.
💰 Monthly allowance for lunch & commuting expenses.
💻Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD.
⭐Clear career paths & a developmental 360° feedback framework.

#LI-Hybrid

#LI-PROMOTE

We are an equal opportunities employer and welcome applications from all individuals, regardless of race, gender, disability, religion/belief, sexual orientation, or age.

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