[VKS] Data Engineer

Software Mind

15d•Remote

About The Position

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. This role involves supporting the migration from Pentaho to dbt by rewriting, modeling, and modernizing existing data transformations. You will be building, maintaining, and optimizing SQL-based ELT pipelines, working with Google Cloud Platform components, especially BigQuery, in our cloud-native data environment. Collaboration with data engineers, analysts, and business teams is a key aspect of this position.

Requirements

At least 3 years of experience as Data Engineer or similar role
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 Haves

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

Responsibilities

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.