Principal Data Engineer

Summary

Join Kaizen Gaming, a leading GameTech company, as a Principal Data Engineer to lead the development of scalable data and analytics solutions. You will play a key role in implementing a next-generation data platform, focusing on the Data Mesh paradigm and real-time analytics. This position requires expertise in large-scale data processing, data pipeline design, and data security. The ideal candidate will possess strong communication skills, a results-driven mindset, and a passion for innovation. You will collaborate with leadership and contribute to team growth. Kaizen Gaming offers a competitive salary, benefits, and a supportive work environment.

Requirements

• Deep expertise in the full lifecycle of large-scale data processing systems, from design to implementation
• Proven experience with  designing and deploying data pipelines, real-time analytics solutions, and storage architectures
• Experience data quality management principles
• Experience in implementing data security and compliance policies in alignment with industry standards
• Solid knowledge of cloud technologies -  Familiarity with IaC (eg: Terraform)
• Solid understanding of the Data Mesh paradigm and its implementation in large organizations
• Strong communication skills, with the ability to convey complex technical concepts to diverse audiences
• Self-motivated and results-driven, with a passion for staying current on emerging technologies and industry trends

Responsibilities

• Architect and build our next-generation, scalable, and secure Big Data Platform with a focus on the Data Mesh paradigm
• Drive optimal performance and cost-efficiency by refining data pipelines and data storage, implementing FinOps best practices for resource management
• Help ensure a secure data environment by assisting in the implementation of data security and compliance policies aligned with industry standards
• Champion continuous improvement of our data platform by staying ahead of emerging technologies, methodologies, and industry best practices
• Be a key technical voice, effectively communicating best practices for data architecture, technology selection, and solution design both internally and externally
• Collaborate with leadership to support team growth by identifying and attracting top talent
• Challenge the technical status quo, actively exploring new data processing paradigms, optimizing for real-time analytics, and driving innovation in our data architecture

Benefits

• 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