[VKS] Data Engineer

Requirements

• Expectations - the experience you need
• Strong experience in SQL (our most important requirement)
• Experience working with data pipelines or ETL/ELT workflows
• Ability to understand and improve existing data models and logic
• Willingness to learn dbt and modern ELT practices if not already familiar
• Additional skills - the edge you have
• Experience with Google BigQuery
• Hands-on dbt experience (dbt Core or dbt Cloud)
• Experience with Pentaho (helpful but not required)
• Knowledge of cloud-based data architecture and version- controlled development
• Our offer - professional development, personal growth
• Flexible employment and remote work
• International projects with leading global clients
• International business trips
• Non-corporate atmosphere
• Language classes
• Internal & external training
• Private healthcare and insurance
• Multisport card
• Well-being initiatives

Benefits

Additional Information

Project - the aim you'll have Our client is a gaming company established to reform the national gaming system. Operating under the principle of exclusivity, its mission is to provide games responsibly, mitigate gambling-related risks, and ensure player protection while preventing fraud. The company offers a wide range of games divided into three main categories: Lucky Games, Casino Games, and Betting Games. It emphasizes operating responsibly and contributing to a safe and secure gaming environment. Position - how you'll contribute Supporting the migration from Pentaho to dbt by rewriting, modeling, and modernizing existing data transformations. Building, maintaining, and optimizing SQL‑based ELT pipelines. Working with Google Cloud Platform components, especially BigQuery, in our cloud-native data environment. Collaborating with data engineers, analysts, and business teams

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