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Analytics Engineer

Kaizen Gaming
CompanyKaizen Gaming
CategoryEngineering
LocationAthens
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted4 Feb 2025
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 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 an Analytics Engineer at Kaizen Gaming, you’ll be at the heart of our data-driven initiatives,  working on the silver and gold layers of our medallion architecture. Your role is integral to enhancing our four core elements: discoverability, security, quality, and data observability. As an Analytics Engineer, you will: Support stakeholders by applying reporting and analysis processes to ensure the timely and accurate delivery of financial reports. Enhance reporting and analysis processes by automating workflows or simplifying self-service modeling for stakeholders. Translate complex business and functional requirements into scalable, operational solutions that meet our high standards. Adopt best practices in data modeling, ensuring data integrity, creating resilient test designs, and developing comprehensive documentation. Develop and oversee efficient data transformation pipelines, utilizing ETL/ELT processes. What you’ll bring: 3+ years of hands-on experience in writing complex SQL code for data manipulation and reporting. 3+ years of experience in ETL/ELT and Reporting tools. Strong analytical abilities and problem-solving skills. A continuous improvement mindset, with high attention to detail and commitment to quality. Experience in financial reporting and reconciliation is a plus. Familiarity with data modeling and data warehouse architecture is a plus. Familiarity with Azure services and Databricks is a plus.     Recruitment Privacy Notice  Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age. 
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