Monster Jobs lê cada vaga aberta e diz, de 0 a 100, o match dela com o seu currículo — de graça. Você está vendo esta página sem a parte mais importante dela: a sua.

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Pode ser 94. Pode ser 31.

O ponteiro só crava quando lemos o seu currículo. Leva 1 minuto, de graça.

DOSSIÊ MJ-9231 · ACESSO PARCIAL

Data Engineer

Adyen · Amsterdam

RemotoNão informado

Esta é 1 de 61.465 vagas encontradas nos últimos 30 dias. Nós comparamos todas com o seu currículo — hoje, esta página nem sabe quem você é.

Grátis, sem cartão. Só o seu currículo.

Encontrada ano passado

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A conta que ninguém faz

Você, sozinho, numa noite

~20

vagas abertas e lidas uma a uma — a maioria descartada no terceiro parágrafo, quando o requisito que você não tem finalmente aparece. Dias assim, toda semana.

O Monster Jobs, enquanto isso

61.465

vagas já lidas e entendidas, prontas para ganhar nota contra o seu currículo no momento em que ele chegar. Você não procura mais vaga — recebe as que merecem a sua atenção.

Recrutador faz triagem de candidato.
Aqui, o recrutador é você — de vagas.

Cada uma chega com nota e motivo. Seu único trabalho é dizer sim ou não.

RELATÓRIO DE COMPATIBILIDADE · GERADO POR VAGA, POR PESSOA

Por que essa nota

Para quem tem conta, este bloco explica a nota em português — escrito sobre o seu histórico, não um texto genérico:

O raciocínio da nota é gerado para cada currículo depois do cadastro gratuito.

Aderência técnicapeso 0.45
Senioridadepeso 0.25
Localização e modelo de trabalhopeso 0.2
Setor e contextopeso 0.1

A seu favor

O que do seu histórico pesa a favor aqui.

O que falta

O que a vaga pede e seu currículo ainda não mostra.

Liberar meu relatório grátis

1 minuto: você envia o currículo, nós escrevemos o resto.

Ninguém caça sozinho. Esta vaga foi encontrada por outra pessoa e entrou no acervo de todo mundo. A caça continua enquanto você lê isto — e a sua parte do acervo (61.465 vagas, comparadas com o seu currículo) só passa a existir quando você entra.

O que você decide sobre cada vaga

Cada vaga vira um caso com histórico: candidatei, entrevista, proposta. Estes botões são os reais — só falta a conta.

Descrição da vaga

<p><strong>This is Adyen</strong></p> <p><span style="font-weight: 400;">Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.&nbsp;</span></p> <p><span style="font-weight: 400;">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.</span></p> <p><strong>Data Engineer&nbsp;</strong></p> <p>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.</p> <p><strong>What you’ll do</strong></p> <ul> <li><strong>Collaborative Solution Development</strong>: 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.</li> <li><strong>Quality Pipelines and Architecture</strong>: 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.</li> <li><strong>Data Best Practices</strong>: 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.</li> <li><strong>High Quality Data and Code:</strong> 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.</li> <li><strong>Performance Optimization</strong>: 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.</li> </ul> <p><strong>Who you are</strong></p> <ul> <li><strong>Experienced in Big Data:</strong> <strong>3+ years</strong> of experience working as a Data Engineer or in a similar role.</li> <li><strong>Data &amp; Engineering practices:</strong> You have a solid understanding of both Software and Data Engineering practices.</li> <li><strong>Technical Super Star:</strong> Proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.&nbsp;</li> <li><strong>Clear Communicator:</strong> Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.&nbsp;</li> <li><strong>Self-starter:</strong> Capable of identifying opportunities, devising solutions, and handling projects independently.&nbsp;</li> <li><strong>Innovator:</strong> You have an experimental mindset with a ‘launch fast and iterate’ mentality.</li> <li><strong>Data Culture Champion:</strong> Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.</li> </ul> <p><strong>Data positions at Adyen</strong></p> <p>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 at<a href="https://www.adyen.com/knowledge-hub/roles-scaling-up-data-culture" target="_blank"> this blogpost</a> to find out!</p> <p>We currently have roles available in the following teams:</p> <ul> <li>Uplift Protect</li> <li>Balance Transactions</li> <li>Optimise Interfaces</li> <li>Payments Pricing</li> <li>Finance &amp; Commercial Analytics&nbsp;</li> </ul> <p><strong>Our Diversity, Equity and Inclusion commitments&nbsp;</strong></p> <p><span style="font-weight: 400;">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.&nbsp;</span></p> <p><span style="font-weight: 400;">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!</span></p> <p><strong>What’s next?</strong></p> <p><span style="font-weight: 400;">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. </span><a href="https://careers.adyen.com/how-we-hire"><span style="font-weight: 400;">Learn more about our hiring process here</span></a><span style="font-weight: 400;">. Don’t be afraid to let us know if you need more flexibility.</span></p> <p><span style="font-weight: 400;">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.</span></p> <p>&nbsp;</p>
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