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Data Engineer - Agentic AI focus

Оценка ИИ

Престижная компания с мировым именем, работа на острие технологий (Agentic AI) и четкие перспективы роста. Локация в Праге и сильная корпоративная культура делают вакансию очень привлекательной для опытных инженеров.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний как в традиционном Data Engineering (ETL, SQL, Airflow), так и в современных LLM-фреймворках. Работа в офисе в Праге и участие в on-call ротациях добавляют ответственности и организационной сложности.

Анализ зарплаты

Медиана65 000 €
Рынок50 000 € – 85 000 €
Оценка ИИ

Предлагаемая позиция в Праге соответствует уровню Senior/Lead Data Engineer. Рыночные зарплаты в Чехии для таких ролей в международных технологических компаниях обычно выше среднего по стране, часто дополняются бонусами и акциями (RSU).

Сопроводительное письмо

I am writing to express my strong interest in the Data Engineer position with a focus on Agentic AI at Pure Storage. With a solid background in architecting scalable data infrastructure and a deep proficiency in Python, SQL, and modern data stacks like Snowflake and AWS, I am eager to contribute to your mission of reshaping the data storage industry. My experience in building production-grade ETL pipelines and orchestrating workflows with Airflow aligns perfectly with your need for high-quality, AI-ready datasets.

What excites me most about this role is the opportunity to bridge the gap between traditional data engineering and the evolving field of LLM orchestration. I have consistently demonstrated a growth mindset by integrating emerging technologies into business processes to drive operational excellence. I am confident that my technical expertise, combined with my ability to collaborate across global teams, will allow me to make a significant impact on Pure Storage’s AI-driven workflows and automated customer support solutions.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в purestorage уже сейчас

Присоединяйтесь к Pure Storage и создавайте фундамент для следующего поколения Agentic AI в Праге!

Описание вакансии

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

As a Data Engineer - Agentic AI focus you will architect the high-performance data ecosystem that transforms raw information into actionable intelligence and agentic AI solutions. You will bridge the gap between complex engineering and business impact, collaborating with Data Scientists and Product Managers to build the infrastructure that scales our AI capabilities. This isn't just about moving data; it’s about engineering the foundation for the next generation of automated customer support and operational excellence.

WHAT YOU'LL DO

  • Architect Scalable Data Infrastructure: Design, deploy, and optimize production-grade ETL pipelines and data models that ensure high-quality, AI-ready datasets for global business intelligence.
  • Drive AI Evolution: Lead the technical preparation and prototyping of AI-driven workflows, integrating emerging LLM frameworks to automate complex business processes and enhance decision-making.
  • Ensure Data Excellence and Integrity: Own the end-to-end data management lifecycle, implementing robust governance, security, and monitoring to maintain a "single source of truth" for critical stakeholders.
  • Collaborate and Solve Across Functions: Partner with cross-functional teams to translate business needs into technical specifications, serving as the bridge that turns raw data into measurable organizational impact.
  • Operational Reliability: Manage business-hour on-call rotations to ensure the seamless performance of ingestion systems, maintaining high availability for our global data consumers.

WHAT YOU BRING

  • Advanced Engineering Proficiency: Deep technical expertise in SQL, Python, and data modeling, with a proven track record of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.
  • Modern Data Stack Expertise: Hands-on experience managing relational and NoSQL environments (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud infrastructures.
  • Growth Mindset & AI Curiosity: A strong desire to apply traditional data engineering principles to intelligent automation, including the ability to adapt to new technologies like LLM orchestration and model evaluation.
  • Collaborative Communication: The ability to distill complex technical concepts into clear insights for non-technical partners, ensuring alignment across global time zones and diverse teams.
  • We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czech Republic office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LIONSITE

WHAT YOU CAN EXPECT FROM US:

  • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
  • Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
  • Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.

Bring your bold.

Pure and simple.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • SQL
  • Python
  • ETL
  • Airflow
  • dbt
  • Snowflake
  • PostgreSQL
  • MongoDB
  • AWS
  • LLM

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком и понимания жизненного цикла данных.

Расскажите о самом сложном ETL-конвейере, который вы проектировали: с какими проблемами масштабируемости вы столкнулись и как их решили?

Оценка способности кандидата адаптировать классический Data Engineering под нужды ИИ.

Как, по вашему мнению, требования к качеству и структуре данных меняются при переходе от обычной бизнес-аналитики к поддержке Agentic AI и LLM?

Проверка навыков работы с облачной инфраструктурой и инструментами оркестрации, указанными в вакансии.

Каков ваш опыт оптимизации производительности в Snowflake или PostgreSQL при работе с большими объемами неструктурированных данных?

Оценка готовности к операционной поддержке систем.

Опишите ваш опыт участия в on-call ротациях. Как вы подходите к мониторингу и обеспечению отказоустойчивости критически важных пайплайнов?

Проверка навыков коммуникации с нетехническими стейкхолдерами.

Как вы объясняете бизнес-заказчикам необходимость инвестиций в инфраструктуру данных, когда они хотят немедленных результатов от ИИ-решений?

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purestorage
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