Analytics Engineer

Amusnet is a leading provider recognized for offering the best-performing products and innovative solutions in gaming globally. With a portfolio of 300+ casino games, our company collaborates with 800+ operators on 2000+ websites in 35+ markets to enrich online entertainment. Our dedication to innovation and technology also extends to producing premium slot cabinets where our games fuse seamlessly with cutting-edge hardware solutions. Our team consists of 750+ industry professionals, and we continue to broaden our network of offices as we grow. Our team is growing and we are looking for Analytics Engineer!

We're looking for a data-driven innovator with a passion for creating seamless, insightful data experiences! In this role, you’ll leverage SQL, Python, and cutting-edge data tools to build and maintain robust data pipelines, visualizations, and reports that drive real impact. You'll work within a supportive, tech-forward environment that values both personal and professional growth. If you’re skilled with Power BI, Git, and familiar with modern data engineering practices, we’d love to see your unique expertise shine as part of our team.

THE PERFECT TEAM MEMBER IS INSPIRED TO: 

• Build high-performant, battle-tested end-to-end data pipelines, from source to end-user, assuming full ownership of the pipeline
• Learn, grow, evolve and help us continuously scale and improve our data warehousing platform and BI solutions
• Actively collaborate with team members to monitor systems, troubleshoot issues and apply fixes
• Collaborate with various business partners and produce high quality BI solutions to empower decision makers with insights for data driven decisions

THE SKILLS THAT WILL GRAB OUR ATTENTION:

• Ability to write data pipelines in SQL, Python or a combination of both
• Comfortable with version control systems like Git
• Experience working with data warehouses such as Redshift, Snowflake, or BigQuery
• Demonstrable record of building reports and dashboards in visualization tools such as Power BI
• Familiarity with modern data stack concepts and tools
• Knowledge of ETL/ELT processes, data modeling and best practices in data engineering
• Self-starting personality and team player
• Desire to learn, grow and problem-solve

SKILLS CONSIDERED AS AN ADVANTAGE:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services
• Experience with dbt (data build tool) or similar tools for data transformation
• Familiarity with Airflow or other workflow orchestration tools
• Experience with CI/CD pipelines and deployment processes

If you are interested, please send us your CV.

All applications will be treated strictly confidential. 
Only short-listed candidates will be contacted.

Thank you for applying!