About The Position

Software Mind is seeking a Data Engineer for a project with a gaming company working to reform the national gaming system. The client operates games across Lucky Games, Casino Games, and Betting Games, with a focus on responsible gaming, player protection, fraud prevention, and a safe gaming environment. You will build, maintain, and improve data pipelines and ingestion processes on GCP; develop SQL and dbt transformations in BigQuery; and work with streaming and ingestion tools such as Kafka and Apache NiFi. The role also supports pipeline operations and tooling setup across the development lifecycle, including production data workflows. You will collaborate with teammates and client stakeholders to design scalable, reliable, maintainable data solutions, participate in architecture discussions, and propose improvements. Day-to-day collaboration is with the client’s Senior Product Owner and Lead Data Developer as part of a mixed client and Software Mind team. GitLab, Jira, and AI-assisted development tools such as Claude or Antigravity are used in daily work.

Requirements

  • Hands-on experience with ETL/ELT workflows and building data pipelines.
  • Strong SQL skills and experience with dbt or another SQL-based transformation tool.
  • Experience with BigQuery or a similar cloud data warehouse.
  • Experience with Kafka and ingestion tools such as Apache NiFi.
  • Knowledge of GCP or another cloud platform.
  • Practical understanding of tool setup, pipeline operations, and running production data workflows.
  • Comfort working with GitLab and Jira, and interest in using AI tools in development.
  • English proficiency sufficient for smooth communication within the team.
  • Ownership of work, a proactive attitude, and willingness to learn.

Nice To Haves

  • Experience with Flink or Spark.
  • Experience with Kubernetes and CI/CD deployments.
  • Experience with Power BI.
  • Experience with Apache Airflow or another orchestration tool.

Responsibilities

  • Build, maintain, and improve data pipelines and ingestion processes on GCP.
  • Develop data transformations in SQL and dbt on BigQuery.
  • Work with streaming and ingestion tools such as Kafka and Apache NiFi.
  • Support pipeline operations and tooling setup across the development lifecycle, including production data workflows.
  • Design scalable, reliable, and maintainable data solutions with teammates and client stakeholders.
  • Participate in architecture discussions and proactively propose improvements.
  • Use GitLab, Jira, and AI-assisted development tools such as Claude or Antigravity in daily work.
  • Work with the client’s Senior Product Owner and Lead Data Developer as part of a mixed client and Software Mind team.

Benefits

  • Flexible and remote cooperation options.
  • International projects with leading global clients.
  • Travel opportunities related to international projects.
  • Non-corporate atmosphere.
  • Access to language classes.
  • Access to knowledge-sharing initiatives.
  • Access to private healthcare and life insurance.
  • Access to a multisport card.
  • Availability and terms of individual benefits may vary depending on the chosen form of cooperation.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service