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4 дня назад

Analytics Engineer

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Analytics Engineer (Python/PySpark/SQL): Build and productionize the Databricks development environment and internal tooling that bridges data to customer-facing teams, with an accent on end-to-end ownership, ETL automation, and translating analytics into reliable solutions. Focus on designing stable production workflows, integrating AI-assisted tooling into daily development, and collaborating with infrastructure teams to scale new solutions.

Location: Prague

Company

hirify.global is a digital intelligence platform used by major global companies to power online behavior measurement and analytics.

What you will do

  • Own the Databricks development environment and project structure for the Data Enablement team.
  • Build internal tools (including AI-assisted and automated tools) to speed up data investigation and improve how customer-facing teams communicate insights.
  • Productionize analyst workflows by turning analytical tools into reliable automated solutions.
  • Set up and maintain Git workflows, code reviews, and deployments in GitLab; manage automated ETLs and agents.
  • Identify repetitive manual work and automate it across the team.
  • Use AI coding assistants (e.g., Cursor or Claude) as part of the everyday development workflow.

Requirements

  • Strong proficiency in Python, PySpark, and advanced SQL.
  • Ability to take a vague, messy problem and independently plan, design, and deliver a working solution.
  • Solid software engineering fundamentals (Git, continuous integration, and discipline to maintain a mostly one-person codebase).
  • Good technical judgment on how much engineering a problem deserves, with analytical correctness as non-negotiable.
  • Comfort working with AWS stack (or willingness to learn AWS if coming from GCP/Azure).
  • Clear communication, including translating technical concepts to non-engineers.

Culture & Benefits

  • Hybrid work model: 3 days in the office and 2 days working from home.
  • 5 weeks of vacation, birthday day off, and 3 sick days (or Multisport).
  • Modern office in Prague’s DOCK IN area with snacks, drinks, fruit, and lunches.
  • Top-tier hardware (MacBook Pro M3, dual monitors, standing desks).
  • Regular team events and career growth opportunities (leadership, team switching, coaching and learning programs).

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