Analytics Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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).
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →