[VKS] Data Engineer (Mid/Senior)

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. Role – how you’ll contribute Build, maintain and improve data pipelines and ingestion processes on GCP. Develop data transformations in SQL and dbt on BigQuery, and work with streaming and ingestion tools such as Kafka and Apache NiFi. Support pipeline operations and tooling setup across the whole development lifecycle, including production data workflows. Design scalable, reliable and maintainable data solutions together with teammates and the client’s stakeholders. Take part in architecture discussions and propose improvements on your own initiative. Use GitLab, Jira and AI-assisted development tools such as Claude or Antigravity in daily work. Work day to day with the client’s Senior Product Owner and Lead Data Developer as part of a mixed client and Software Mind team. Expectations – the experience you need Hands-on experience with ETL/ELT workflows and building data pipelines. Strong SQL and experience with dbt or another SQL-based transformation tool. Experience with BigQuer