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Data Engineer
Adyen — престижный финтех-единорог с сильной инженерной культурой и интересными задачами на масштабе. Минусом для некоторых может быть отсутствие удаленки, но это компенсируется работой в международном хабе.
Сложность вакансии
Роль требует уверенного владения стеком Big Data (Spark, Kafka, Airflow) и опыта работы от 3 лет. Высокая планка инженерной культуры в Adyen и очный формат работы в Амстердаме добавляют сложности при отборе.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Data Engineer II в Амстердаме рыночный диапазон составляет от 70 000 до 95 000 евро в год. Adyen обычно предлагает конкурентоспособные пакеты, включающие опционы и бонусы.
Сопроводительное письмо
I am writing to express my interest in the Data Engineer II position at Adyen. With over three years of experience in building robust ELT pipelines and working within the Big Data ecosystem, I have developed a deep proficiency in Python, PySpark, and Airflow. My background aligns perfectly with Adyen's commitment to treating data as a first-class citizen, and I am eager to contribute to the high-quality data architecture that supports global clients like Meta and Uber.
In my previous roles, I have successfully optimized Spark jobs and implemented rigorous testing protocols using Pytest, ensuring data reliability and performance. I am particularly drawn to Adyen's 'launch fast and iterate' mentality and the opportunity to collaborate with diverse teams in an office-first environment. I am confident that my technical skills and proactive approach to data governance will make me a valuable asset to your engineering team in Amsterdam.
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Описание вакансии
This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
Data Engineer
At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Data Engineer II to join our team in Amsterdam. This role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on our Big Data Platform. As a Data Engineer at Adyen, you will be instrumental in maintaining our data infrastructure and ensuring smooth data flows across systems.
What you’ll do
- Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
- Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.
- Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives.
- High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
- Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.
Who you are
- Experienced in Big Data: 3+ years of experience working as a Data Engineer or in a similar role.
- Data & Engineering practices: You have a solid understanding of both Software and Data Engineering practices.
- Technical Super Star: Proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.
- Clear Communicator: Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
- Self-starter: Capable of identifying opportunities, devising solutions, and handling projects independently.
- Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality.
- Data Culture Champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.
Data positions at Adyen
We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look atthis blogpost to find out!
We currently have roles available in the following teams:
- Protect
- Experimentation Platform
- Operations Analytics
- Transaction & Ledger Platform
- Authorization Optimisation
Our Diversity, Equity and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What’s next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
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Навыки
- Git
- Python
- SQL
- PySpark
- Airflow
- Kafka
- Hadoop
- Spark
- PyTest
- ELT
Возможные вопросы на собеседовании
Проверка глубокого понимания инструмента, указанного в требованиях.
Расскажите о наиболее сложных проблемах производительности в Spark, с которыми вы сталкивались, и как вы их оптимизировали?
Adyen делает упор на ELT-пайплайны. Важно понять подход кандидата к архитектуре.
В чем, по вашему мнению, основные преимущества и недостатки перехода от ETL к ELT архитектуре в контексте больших данных?
В описании упоминается Pytest и качество кода.
Как вы организуете процесс тестирования и валидации данных в своих пайплайнах, чтобы гарантировать их точность и своевременность?
Вакансия предполагает работу с Kafka.
Опишите ваш опыт работы с потоковой передачей данных. В каких случаях вы бы предпочли Kafka вместо пакетной обработки?
Adyen ценит командную работу и взаимодействие со стейкхолдерами.
Как вы объясняете технические ограничения или архитектурные решения нетехническим коллегам, например, менеджерам по продукту?
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