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Senior Data Engineer, Global Data Products
Отличная вакансия в известном международном бренде с современным стеком технологий и сильной инженерной культурой. Работа в Варшаве в современном офисе с возможностью влиять на глобальный продукт — это сильный буст для карьеры.
Сложность вакансии
Роль требует глубоких знаний Spark, Python и SQL, а также опыта работы с современными облачными платформами данных (Snowflake, Databricks). Высокий уровень ответственности за архитектуру и качество данных в международной распределенной команде повышает планку требований.
Анализ зарплаты
Предлагаемая позиция Senior уровня в Варшаве соответствует рыночным ожиданиям для международных продуктовых компаний. Указанный диапазон отражает текущие реалии польского IT-рынка для опытных инженеров данных.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at HelloFresh. With extensive experience in building scalable ETL pipelines and a deep mastery of the Python and Spark ecosystem, I have a proven track record of delivering production-ready data solutions that drive business impact. My background in optimizing complex SQL queries and working with modern cloud warehouses like Snowflake aligns perfectly with the technical requirements of the Core Data Products team.
Throughout my career, I have focused on bridging the gap between data producers and consumers, ensuring high data quality and governance. I am particularly excited about HelloFresh's commitment to innovation, including the integration of Generative AI tools to accelerate engineering tasks. I am eager to bring my technical leadership and problem-solving acumen to the HelloTech organization in Warsaw and contribute to the continuous improvement of your global data infrastructure.
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Откликнитесь в hellofresh уже сейчас
Присоединяйтесь к HelloFresh в Варшаве и создавайте масштабируемые дата-продукты для миллионов клиентов по всему миру!
Описание вакансии
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
We are a cross-functional team that integrates data engineers and data analysts. Our objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics.
As a Senior Data Engineer in Core Data Products, the focus is on collaborating to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka etc). This involves working on the continuous improvement of current data processing workflows; whilst engaging with data producers and consumers to align business requirements with the roadmap.
What you’ll do: The Recipe
- Build and maintain complex and scalable ETL pipelines
- Work closely with the data producers and software developers
- Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
- Drive data quality and governance
- Work together with our cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.
What you’ll bring: The Ingredients
- Extensive experience of engineering fundamentals and able to design, implement and deliver maintainable and high-quality code
- Track record of delivering scalable, production-ready solutions
- Mastery of SQL and query optimization techniques
- Strong problem-solving acumen
- Proficiency in Python stack
- Exceptional technical background and a demonstrated clear impact on achieving business goals
- Strong written and verbal communication skills, ability to build effective communication structures in a fast-growing engineering organization
- Extensive experience with Apache Spark or equivalent
Bonus Point
- Demonstrated ability to use Generative AI tools (Copilot, Gemini, etc.) to accelerate data engineering tasks like scripting, query optimization, and documentation.
- A continuous-learning mindset with an active interest in how AI is reshaping modern data stacks and architectures.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#DATA
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Навыки
- SQL
- Python
- Apache Spark
- Snowflake
- Databricks
- dbt
- Kafka
- ETL
- Data Governance
- Generative AI
Возможные вопросы на собеседовании
Проверка навыков оптимизации производительности в распределенных системах.
Расскажите о вашем опыте оптимизации Spark-приложений. Какие техники вы использовали для борьбы с перекосом данных (data skew)?
Оценка понимания архитектуры современных хранилищ данных.
В чем, по вашему мнению, основные преимущества и недостатки использования Snowflake в сравнении с традиционными On-premise решениями для крупного ритейла?
Проверка навыков проектирования надежных систем.
Как вы подходите к обеспечению качества данных (Data Quality) и мониторингу пайплайнов в реальном времени?
Оценка умения работать с бизнес-требованиями.
Опишите ситуацию, когда требования стейкхолдеров противоречили техническим возможностям. Как вы нашли компромисс?
Проверка интереса к новым технологиям, упомянутым в вакансии.
Как вы используете Generative AI (например, Copilot) в своей ежедневной работе инженера данных для ускорения разработки?
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