Senior Analytics Engineer

Summary

Join Kaizen Gaming, a leading GameTech company, as a Senior Analytics Engineer and play a critical role in shaping our data ecosystem. You will lead the design and implementation of robust data models and transformation pipelines, architect high-performance ELT workflows, and translate complex business problems into technical solutions. This role requires technical leadership, mentoring peers, and establishing best practices in data governance. You will collaborate with cross-functional teams to drive strategic initiatives and build innovative data products. The ideal candidate possesses extensive experience in SQL, ETL/ELT development, data modeling, and modern data stack tools. Kaizen Gaming offers a competitive salary, benefits, and a supportive work environment.

Requirements

• 6+ years of hands-on experience in writing complex, highly optimized SQL code for data manipulation, transformation and reporting
• 4+ years of experience in ETL/ELT development, data modeling, data warehouse architecture, and reporting tools
• Proven ability to design and maintain scalable ELT workflows in modern, cloud-native environments
• Deep understanding of data modeling techniques and enterprise data warehouse principles
• A track record of technical leadership—driving initiatives, mentoring peers, and establishing best practices
• Hands-on experience with the modern data stack, including tools like dbt, Airflow, and Databricks
• Familiarity with CI/CD practices in data engineering and deployment pipelines
• Strong communication skills, with the ability to effectively bridge technical and non-technical audiences

Responsibilities

• Lead the design and implementation of robust, scalable data models and transformation pipelines across key domains
• Architect and maintain high-performance ELT workflows, ensuring efficiency, reliability, and observability at scale
• Translate complex business problems into elegant technical solutions that align with our long-term data strategy
• Establish and champion best practices in data governance, modeling, testing, and documentation across teams
• Mentor mid-level analytics engineers and contribute to the development of team-wide standards and frameworks
• Collaborate cross-functionally with data, product, and engineering peers to drive strategic initiatives and build innovative data products

Preferred Qualifications

• Degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience
• Experience in programming languages preferably in Python or Scala
• Experience working with modern OLAP systems (Pinot, ClickHouse, StarRocks)
• Familiarity with data observability and data quality tools such as Great Expectations, Monte Carlo, Validio, or Soda, and a passion for building trust in data
• Knowledge of data governance principles and best practices
• Exposure to an Agile team-working environment

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