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Data Engineer, Global Data Products
HelloFresh — это сильный бренд с современным стеком и масштабными задачами. Работа в международной команде HelloTech в Варшаве предлагает отличные возможности для профессионального роста, хотя отсутствие прозрачности по зарплате немного снижает оценку.
Сложность вакансии
Роль требует уверенного владения Python, SQL и современным стеком (Spark, Snowflake, DBT). Высокая планка ожидается в области инженерных практик (CI/CD, TDD) и архитектурного мышления.
Анализ зарплаты
Указанный диапазон соответствует рыночным ставкам для опытных Data-инженеров в Польше. HelloFresh обычно предлагает конкурентоспособные пакеты, соответствующие уровню крупных международных технологических компаний.
Сопроводительное письмо
I am writing to express my interest in the Data Engineer position within the Global Data Products team at HelloFresh. With a strong background in building scalable ETL pipelines and a deep proficiency in the Python and SQL stack, I am eager to contribute to HelloTech’s mission of powering the end-to-end food experience through data-driven decision-making.
In my previous experience, I have focused on creating robust data assets and collaborating with cross-functional teams to align technical roadmaps with business requirements. I am particularly drawn to HelloFresh's use of cutting-edge technologies like Snowflake, Databricks, and DBT, and I am confident that my expertise in Spark and CI/CD practices will allow me to drive data quality and governance within your Warsaw-based team.
I am a strong advocate for engineering excellence and look forward to the possibility of bringing my problem-solving skills to HelloFresh. Thank you for considering my application.
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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
The Global Data Products team is a cross-functional unit that integrates data engineers and data analysts. The 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 Data Engineer, the service provider will collaborate to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka, etc.). This involves driving continuous improvement to current data processing workflows while engaging with data producers and consumers to align business requirements with the roadmap. This role does not include people management responsibilities.
At HelloTech, flexibility and cross-functional collaboration are core to the delivery of services. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.
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
- Collaborate with the cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.
- Review as a technical expert the implementations of multiple teams, continuously improving technical deliverables.
What you’ll bring: The Ingredients
- Strong understanding of engineering fundamentals and the ability to design, implement, and deliver maintainable and high-quality code.
- Strong problem-solving acumen.
- Proficiency in SQL and the Python stack.
- Strong written and verbal communication skills; the ability to build effective communication structures in a fast-growing engineering organization.
- Bonus points: Treating data quality issues as engineering problems to solve; experience debugging Spark pipelines; and demonstrated experience with data modeling techniques.
- A team player attitude and a passion for advocating for best engineering practices, such as CI/CD, TDD, and Design Patterns.
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
- Snowflake
- Databricks
- dbt
- Spark
- Kafka
- CI/CD
- TDD
- Data Modeling
Возможные вопросы на собеседовании
Проверка опыта работы с основным инструментом обработки данных, упомянутым в вакансии.
Расскажите о самом сложном пайплайне на Spark, который вы оптимизировали. С какими проблемами производительности вы столкнулись?
Вакансия делает упор на качество данных как на инженерную задачу.
Как вы подходите к реализации автоматизированного тестирования качества данных (Data Quality) в ETL-процессах?
HelloFresh использует DBT и Snowflake; важно понимать навыки моделирования.
Какие подходы к моделированию данных (например, Data Vault или Kimball) вы предпочитаете для построения аналитических хранилищ и почему?
Роль предполагает взаимодействие с маркетингом и продуктовыми аналитиками.
Опишите случай, когда требования стейкхолдеров были технически невыполнимы или противоречивы. Как вы нашли компромисс?
Проверка приверженности лучшим практикам разработки.
Как вы организуете процесс CI/CD для дата-проектов, чтобы минимизировать риски при деплое в продакшн?
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