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Sr Data Analytical Engineer
Сильная позиция в известной международной компании с современным стеком (GCP, BigQuery). Привлекает акцент на AI-инструменты и высокая степень автономности, однако отсутствие четких данных по зарплате в описании требует уточнения.
Сложность вакансии
Роль требует высокого уровня владения SQL и глубокого понимания архитектуры данных (Kimball/Star Schema). Сложность обусловлена необходимостью работать с огромными объемами данных (петабайты) в GCP и интеграцией AI-инструментов в повседневные процессы.
Анализ зарплаты
Зарплата для Senior Data Analytics Engineer в Мадриде и Праге обычно находится в диапазоне 60,000–85,000 евро в год. Предложение Groupon, вероятно, соответствует верхней границе рынка или немного превышает её, учитывая статус глобальной технологической компании.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Analytics Engineer position at Groupon. With over five years of experience in analytics engineering and a deep obsession with dimensional modeling, I am excited by the opportunity to architect the 'Source of Truth' for your global marketplace. My background in building resilient ELT pipelines and optimizing BigQuery performance for petabyte-scale data aligns perfectly with your mission to transform local commerce through data-driven insights.
I am particularly impressed by Groupon’s AI-First approach. In my previous roles, I have actively integrated LLMs into my workflow to accelerate SQL refactoring and automate documentation, and I am eager to bring this mindset to your Business Intelligence team. I am confident that my expertise in SQL mastery, Airflow orchestration, and Kimball star schema design will allow me to make an immediate impact on your 'Gold Layer' data marts and support the next generation of AI models at Groupon.
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Откликнитесь в groupon уже сейчас
Присоединяйтесь к Groupon и создавайте архитектуру данных для глобального маркетплейса с использованием передовых AI-технологий!
Описание вакансии
Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.
Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.
Architect the "Source of Truth" for a Global Marketplace
At Groupon, data isn't just a byproduct—it is the product. We are looking for a Senior Data Analytics Engineer to bridge the gap between raw infrastructure and business insight. You won't just write queries; you will architect the semantic layer of our data warehouse, ensuring that every dashboard, AI model, and executive decision is built on a foundation of trust.
This is a high-impact Individual Contributor role for a builder who loves SQL, obsesses over data modeling, and wants to solve complex problems at a global scale.
The AI Advantage 🤖
We don't just analyze AI; we build with it. You will work in an AI-First environment, leveraging LLMs (ChatGPT, Claude, Copilot) daily to:
- Accelerate SQL generation and refactoring.
- Automate documentation and data lineage.
- Build specific "Feature Stores" that power our Machine Learning models.
What You’ll Build & Own
- The Gold Layer: Design and maintain clean, reusable, and documented data marts in BigQuery that serve as the single source of truth for the company.
- Pipeline Orchestration: Build robust ELT pipelines using Airflow or Keboola. If a pipeline fails at 3 AM, your code is resilient enough to handle it.
- Performance Engineering: Optimize SQL for massive scale. You understand clustering, partitioning, and execution plans to ensure we process petabytes without burning the budget.
- Data Governance: Implement automated testing (dbt-style checks) to catch data drift before it hits the dashboard.
The Tech Stack
- Core: Google Cloud Platform (GCP), BigQuery.
- Orchestration: Airflow, Cloud Composer, Keboola.
- Languages: Advanced SQL (Mandatory), Python.
- Visualization: Tableau, Looker (Knowledge of the semantic layer).
Must-Haves
- 5+ Years Experience: You have a track record in Analytics Engineering, Data Engineering, or BI Development.
- SQL Mastery: You write production-grade code. You know the difference between a query that works and a query that scales.
- Data Modeling: Deep understanding of dimensional modeling (Kimball/Star Schema) and modern data stack patterns.
- Builder Mindset: You treat data assets like software products—versioned, tested, and documented.
Ready to build the data engine that powers the future of local commerce? Apply Now.
#LI-KH1 #LI-Hybrid
Groupon is an AI-First Company
We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role—you’ll be right at home here.
Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.
Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers
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Навыки
- Google Cloud Platform
- BigQuery
- SQL
- Python
- Airflow
- dbt
- Tableau
- Looker
- Data Modeling
- ETL
- ELT
Возможные вопросы на собеседовании
Проверка понимания архитектуры хранилищ данных, что критично для создания 'Source of Truth'.
Расскажите о наиболее сложной схеме данных (например, Star Schema), которую вы проектировали. С какими проблемами производительности вы столкнулись?
Вакансия требует навыков оптимизации SQL для работы с петабайтами данных.
Как бы вы оптимизировали запрос в BigQuery, который потребляет слишком много ресурсов при работе с партиционированными таблицами?
Упоминается использование Airflow и Keboola для отказоустойчивых пайплайнов.
Опишите ваш подход к обработке ошибок в ELT-пайплайнах. Как вы обеспечиваете идемпотентность данных при повторных запусках?
Groupon позиционирует себя как AI-First компания.
Как вы используете LLM (ChatGPT, Copilot) в своей повседневной работе инженера данных для повышения продуктивности?
Важно умение предотвращать 'data drift' до того, как он попадет в отчеты.
Какие типы автоматизированных тестов (например, dbt-style) вы считаете обязательными для обеспечения качества данных в 'Gold Layer'?
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