Senior Data Platform Engineer

Adyen·Amsterdamsenior

In short

→Ingeniero de plataforma de datos senior que construye y mantiene plataformas de big data a gran escala en entornos on-premise.
→Trabaja con sistemas distribuidos, Kubernetes, Spark, Kafka y herramientas de DevOps para soportar miles de jobs diarios y equipos de datos.
→Destacado: plataforma de 23+ PB de almacenamiento, 500+ nodos y 25k+ núcleos de CPU.

Proficiency in English required

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What they ask for

✓6+ años de experiencia con Python orientado a objetos.
✓Experiencia con sistemas distribuidos como Spark, Trino, Druid, Kafka.
✓Conocimiento en DevOps, pipelines de CI/CD y entornos de desarrollo.
✓Experiencia con Kubernetes, Docker, Hadoop (YARN, HDFS, Hive, Kerberos).
✓Habilidad para colaborar con múltiples stakeholders (data scientists, ingenieros, seguridad).
✓Enfoque en calidad de datos, descubrimiento de metadata y tiempo de insights.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSparkTrinoDruidKafkaKubernetesDockerHiveYarnHDFS

Who should you write to at Adyen?

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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. Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering, Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities. You’ll collaborate with data engineers and ML scientists and engineers to build and roll-out these tools. Along with DataOps Engineers, you’ll develop and operate multiple big data platforms, of which the biggest is 500+ nodes, with 25k+ CPU cores, 240+ TBs of RAM, and 23+ PBs of storage capacity, running tens of thousands of spark jobs a day. What you’ll do You’ll be asked to both build new tools and improve the existing tooling. This role is perfect for you if you're passionate about few of the following: • Develop and maintain scalable and high performance big data platforms. • Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.) • Identify opportunities to improve continuous release and deployment environments • Build or deploy tools to enhance data discoverability through the collection and presentation of metadata • Introduce and extend tools to enhance the quality of our data, platform-wide • Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists • Develop streaming processing applications and frameworks • Experience in infrastructure and large-scale private cloud systems Who you are • At least 6+ years experience with Python object oriented programming. • Team player with strong communication skills • Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc). • Experience developing and maintaining: • Distributed data and compute systems like Spark, Trino, Druid, etc • Data modelling tooling • DevOps pipelines and development ecosystems. • Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality. • Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos). 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 r

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