Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
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 Engineering or Backend Engineering with strong proficiency 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.
Similar roles
-
Data Engineer
EKN Engineering Irvine, California, United States
-
Senior Workforce Analytics & Data Engineer
RGP San Jose, California, United States · $198K–$229K/yr
-
Data Engineer
Bluetab, an IBM Company San Isidro, Lima, Peru
-
AI Data Engineer
UKG Lowell, Massachusetts, United States · $72K–$103K/yr
-
System Data Engineer
Ericsson Stockholm, Sweden
-
Data Engineer – Cloud & AI Solutions
Sopra Steria Assago, Lombardy, Italy · €33K–€40K/yr