Agentic Analytics Engineer

Tulip Interfaces

Budapest, Hungary
Not specified; equity included; benefits: private ...
Hybrid (3+ days in the office)
4+ years analytics or data engineering experience
Proficiency with agentic coding tools like cursor
Strong sql and python skills for data modeling
Tulip Interfaces is seeking an Agentic Analytics Engineer for their Budapest office, offering a hybrid work environment. The role focuses on building data models and pipelines using AI coding tools, requiring a strong analytical background and stakeholder engagement skills

Job Summary

  • Tulip is an MIT spinoff leading the digital transformation of industrial environments with its AI-native, no-code platform.
  • This role focuses on building and maintaining data models primarily using AI coding tools while ensuring high-quality standards and documentation.
  • The company offers benefits including private healthcare, company equity, flexible work schedules, and unlimited vacation policy.

Matching Summary

Match Score: 85

Tulip Interfaces is seeking an Agentic Analytics Engineer for their Budapest office, offering a hybrid work environment. The role focuses on building data models and pipelines using AI coding tools, requiring a strong analytical background and stakeholder engagement skills.

Salary

Not specified; Equity included; Benefits: Private Healthcare, Unlimited Vacation, Learning & Development

Skills & Requirements

Must-have

  • 4+ years analytics or data engineering experience
  • Proficiency with agentic coding tools like Cursor
  • Strong SQL and Python skills for data modeling
  • Experience with dbt, Airflow, or dlt orchestration
  • Ability to define canonical metric definitions

Nice-to-have

  • Experience with semantic modeling tools like MetricFlow
  • Familiarity with data cataloging platforms like DataHub
  • Knowledge of BI tools such as Tableau or Looker

Key Requirements

  • Bachelor's degree in quantitative, technical, or business field
  • 4+ years of experience in analytics, data science, or data engineering
  • Hybrid work environment requiring 3+ days per week in office

Work Rights

Not specified

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