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About the role
Design, build, and maintain scalable data pipelines, models, and backend data infrastructure. Collaborate with cross-functional teams to translate business requirements into technical solutions using modern data platforms and GenAI tools.
What they look for
Requirements
Requires 4+ years of experience in Data or Backend Engineering with strong hands-on skills in dbt, SQL, and cloud data platforms. Candidates must demonstrate ownership, strong communication skills, and the ability to work independently in a dynamic environment.
Benefits
Full 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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