Data Platform Engineer, Streaming

Key Skills

Apache Cassandra, Apache Kafka, Data pipelines, Framework, Kubernetes-K8s, Linux Operating system, RabbitMQ

Job Description

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. The people of Adyen 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 Platform Engineer, Streaming

Adyen is looking for a Data Platform Engineer to join our Infrastructure team in Amsterdam. Our on premise platforms are growing at a fast pace. You will operate as part of a group of data infrastructure engineers, data engineers, data scientists, developers and work together at the core data infrastructure on a global scale. You will be challenged with the fast growth needs of Adyen, by the different teams across the company and to bring innovative solutions everyday. You'll be asked to improve the current stack and support several highly skilled teams of data scientists, data engineers and platform engineering in general. In this role, you will:

• Create, maintain and iterate on the current streaming infrastructure
• Anticipate growth and look for structural changes required in the streaming and pipelines offering at Adyen to keep healthy pipelines that stream millions of events per second in all continents.
• Work closely with the maintainers of the data infrastructure and arrive at pragmatic solutions in line with standards used throughout the platform engineering group.

Who you are

• Background: Solid experience in designing, scaling and maintaining Data Streaming platforms, with the capability to learn on the fly, diagnose problems and manage a 24/7 environment.
• Technology: Hands-on experience with Kafka, RabbitMQ or Cassandra, understanding of open-source data pipeline frameworks, and familiarity with automation tools such as Ansible/Puppet. Linux optimization and debugging should be second nature to you.
• Experience: Proven track record of building, testing and maintaining Kafka, RabbitMQ or Cassandra and Kubernetes at scale.
• Knowledge: Solid understanding of the Kafka and RabbitMQ internals, Kubernetes and specific optimizations for different use cases, good practices and design patterns.

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.