[VKS] Data Engineer (Mid/Senior)

Company Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment.

Job Description
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.

Qualifications

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 BigQuery or a similar cloud data warehouse.

Experience with Kafka and with 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.

Comfortable working with GitLab and Jira, and interest in using AI tools in development. English that allows smooth communication in the team, plus ownership of your work, a proactive attitude and willingness to learn. Additional skills – the edge you have Experience with Flink or Spark.

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

Additional Information

What we offer

Flexible and remote cooperation options International projects with leading global clients Travels 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 multisport card *The availability and terms of individual benefits may vary depending on the chosen form of cooperation.