[VKS] Data Engineer (Mid/Senior)
Warsaw, Masovian Voivodeship, Poland
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild, maintain and improve data pipelines and ingestion processes on GCP
Develop SQL and dbt transformations on BigQuery
Work with streaming and ingestion tools such as Kafka and Apache NiFi
Support pipeline operations and tooling across the development lifecycle
Design scalable, reliable data solutions with teammates and stakeholders
From the employer’s posting
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 whole development lifecycle, including production data workflows.
Design scalable, reliable and maintainable data solutions together with teammates and the client’s stakeholders.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with ETL/ELT workflows and building data pipelines.
- Experience with Flink or Spark.
- Strong SQL and experience with dbt or another SQL-based transformation tool.
- Experience with Kubernetes and CI/CD deployments.
- Experience with BigQuery or a similar cloud data warehouse.
- Experience with Power BI.
Qualification wording
Hands-on experience with ETL/ELT workflows and building data pipelines.
Experience with Flink or Spark.
Strong SQL and experience with dbt or another SQL-based transformation tool.
Experience with Kubernetes and CI/CD deployments.
Experience with BigQuery or a similar cloud data warehouse.
Experience with Power BI.
Tools in this posting
- SQL
- BigQuery
- dbt
- GCP
- Kafka
- Kubernetes
- Power BI
- Airflow
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
- 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.
- Experience with Flink or Spark. - Experience with Kubernetes and CI/CD deployments. - Experience with Power BI.
- Experience with Kubernetes and CI/CD deployments. - Experience with Power BI. - Experience with Apache Airflow or another orchestration tool.
- Experience with Power BI. - Experience with Apache Airflow or another orchestration tool. Additional Information
Benefits in the posting
Full benefits wording- Flexible and remote cooperation options
- International projects with leading global clients
- Travels related to international projects
- Non-corporate atmosphere
- Access* to private healthcare and life insurance
- *The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
- Company Description
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 6 days ago
- Recorded sightings
- 18
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Masovian Voivodeship, Poland
What we offer: - Flexible and remote cooperation options - International projects with leading global clients
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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