Data Engineer

TL;DR

Data Engineer: Building, maintaining, and optimizing SQL-based ELT pipelines for a gaming company with an accent on migrating existing data transformations to dbt and modernizing data models. Focus on working with Google Cloud Platform components, especially BigQuery, and ensuring data integrity and scalability for various gaming applications.

Location: Flexible employment and remote work. Applicable in Poland, Latin America, Moldova, and Romania.

Company

Our client is a gaming company established to reform the national gaming system, operating under the principle of exclusivity to provide games responsibly and mitigate gambling-related risks.

What you will do

• Support the migration from Pentaho to dbt by rewriting, modeling, and modernizing existing data transformations.
• Build, maintain, and optimize SQL-based ELT pipelines.
• Work with Google Cloud Platform components, especially BigQuery, in a cloud-native data environment.
• Collaborate with data engineers, analysts, and business teams.

Requirements

• Strong experience in SQL
• 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

Nice to have

• Experience with Google BigQuery
• Hands-on dbt experience (dbt Core or dbt Cloud)
• Experience with Pentaho
• Knowledge of cloud-based data architecture and version-controlled development

Culture & Benefits

• Flexible employment and remote work options (applicable in Poland, Latam, MD/RO).
• Work with the latest technologies on international projects.
• Relaxed, non-corporate atmosphere with no enforced dress code.
• Opportunities for skill development through language classes, internal & external training, and webinars.
• Private healthcare, insurance, and a monthly sport budget (Multisport card).
• Well-being initiatives to support physical and mental health.