Backend Data Engineer

Globaldev Group

. Design, build, and maintain scalable data pipelines, models, and backend data infrastructure .

Posted 10/6/2026full-timeRemote • Ukraine, Poland, Armenia, RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and backend data infrastructure, with strong proficiency in dbt, SQL, and cloud platforms like Snowflake and Databricks. Capable of collaborating across teams to translate business requirements into effective technical solutions while utilizing modern GenAI tools to enhance engineering workflows.

Highest-signal resume keywords

Data EngineeringDbtSQLSnowflakeStreamlit

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData PipelinesBackend Service DevelopmentREST APIsWorkflow Orchestration

Soft Skills

CommunicationTeamworkOwnershipReliabilityProfessional Work Ethic

Tools & Technologies

DatabricksCursorSnowflake CoWorkCodexClaude Code

Industry Keywords

Data InfrastructureTransformation WorkflowsData ApplicationsGenAI Development ToolsDynamic Environment

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines, models, and backend data infrastructure
Develop and optimize transformation workflows using dbt and cloud data platforms such as Snowflake and/or Databricks
Build and manage workflow orchestration for reliable, production-grade data processes
Create internal data applications and tooling using technologies such as Streamlit
Work closely with Data Product Managers to translate business and product requirements into practical technical solutions
Collaborate across engineering, analytics, and product teams; ask the right questions, challenge assumptions when needed, and help shape solutions
Use modern GenAI development tools such as Cursor, Snowflake CoWork, Codex, Claude Code, and similar tools to accelerate engineering workflows
Take ownership from design through implementation, deployment, and continuous improvement

Requirements

What you’ll need

3+ years of experience in Data Engineering, Backend Engineering, or a related role
Strong hands-on experience with dbt, SQL, data modeling, and data pipelines
Experience with Snowflake and/or Databricks and modern orchestration tools
Strong communication, teamwork, ownership, reliability, and professional work ethic
Ability to operate independently in a dynamic environment where requirements may evolve quickly
Comfort adopting new technologies and using GenAI tools as part of the day-to-day engineering workflow
Hands-on experience with Python, REST APIs, or backend service development would be a plus
Experience with Streamlit or similar frameworks for data-driven applications would be a plus

Benefits

Comp & perks

Comfortable environment, challenging tasks and a long-term interesting project
Covered 20 days of vacation
Public holidays
Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues)
Bookkeeping by a professional accountant
Help and support from our caring HR-team