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Data Engineer

๐Ÿ•’ 14 days ago
Data EngineeringBackend EngineeringDbtSQL
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๐Ÿ“œ Description

  • 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 to shape solutions.

๐Ÿ› ๏ธ Requirements

  • 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.

โœจ Benefits

  • 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.
  • Data Engineer - Globaldev Group
Full job description

We are looking for a Backend Data Engineer with 3+ years of experience to join a fast-paced organization working with modern data platforms, AI-assisted development tools, and rapidly evolving technologies. The ideal candidate combines strong engineering skills with ownership, collaboration, and a product-oriented mindset.

Responsibilities

  • 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

  • 4+ 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.

Would be a plus

  • Hands-on experience with Python, REST APIs, or backend service development.
  • Experience with Streamlit or similar frameworks for data-driven applications.

What we offer

  • 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.
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