Data Engineer, Mid/Senior

Software Mind

. Build, maintain and improve data pipelines and ingestion processes on GCP .

Posted 10/23/2026full-timeRemote • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data pipelines on GCP, utilizing SQL and dbt for data transformations, and collaborating effectively with cross-functional teams. Proficient in using tools like GitLab, Jira, and AI-assisted development tools to enhance productivity and streamline workflows.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyGCP KnowledgeKafka ExperienceETL/ELT Workflows

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLDbtBigQueryETLELTKafkaApache NiFiFlinkSparkApache Airflow

Soft Skills

Proactive AttitudeOwnership of WorkWillingness to LearnEffective Communication

Tools & Technologies

GCPGitLabJiraPower BIKubernetesCI/CDAI-Assisted Development Tools

Industry Keywords

Data SolutionsProduction Data WorkflowsGaming IndustryResponsible GamingPlayer ProtectionFraud Prevention

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformKafkaKubernetesSparkSQL

About the role

Key responsibilities & impact

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 with teammates and client stakeholders
Participate in architecture discussions and propose improvements
Use GitLab, Jira and AI-assisted development tools such as Claude or Antigravity in daily work
Collaborate with the client’s Senior Product Owner and Lead Data Developer as part of a mixed client and Software Mind team
Contribute to projects for a gaming company focused on responsible gaming, player protection and fraud prevention

Requirements

What you’ll 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 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
Interest in using AI tools in development
English that allows smooth communication in the team
Ownership of work, proactive attitude and willingness to learn
Experience with Flink or Spark
Experience with Kubernetes and CI/CD deployments
Experience with Power BI
Experience with Apache Airflow or another orchestration tool

Benefits

Comp & perks

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