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Data Engineer - Adyen

Location: Amsterdam
Employment: Full-time, Part-time
As Data Engineer you will operate as part of a group of data engineers, developers and data scientists, and work together on 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 asked to bring innovative solutions everyday.

This is Adyen

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays.

We took an unobvious approach to starting a payments company, building a platform from scratch. Now, Adyen serves the world's brightest companies like Facebook, Uber, L'Oreal, Casper, Bonobos, and Spotify.

Data Engineer

Our on premise platforms are growing at a fast pace. You will operate as part of a group of data engineers, developers and data scientists, and work together on 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 and analytics engineers.

This role is perfect for you if you're passionate about one or all of the following:

  • Developing and maintaining scalable and high performance big data platforms
  • Building an ML production framework enabling Data Scientists to create robust machine learning pipelines
  • Identifying opportunities to improve continuous release and deployment environments
  • Building or deploying tools to enhance data discoverability through the collection en presentation of metadata
  • Introducing and extending tools to enhance the quality of our data platform wide
  • Exploring and introducing technologies and practices to reduce analysts` and data scientists` time to insight
  • Developing streaming processing applications
  • Steering an organisation to a more cloud-native approach

Who you are

  • Team player with strong communication skills, which means at Adyen: talk straight and clear 
  • Fluency in one or more backend languages such as Python, Java, Scala, etc.
  • Good know-how on realtime and batch data pipelines with emphasis on user friendliness and quality
  • Ability to work closely with both roles you enable (analysts, data scientists, analytics engineers, etc.) and depend on (infrastructure, security, etc.)
  • Knowledge of, and experience with implementing and maintaining technologies related to; the Hadoop ecosystem (Hive, Yarn, HDFS), query engines (Spark, Trino), containerisation (Kubernetes, Docker), CI/CD (Gitlab), pipeline orchestration (Airflow), machine learning (Feast, MlFlow), data security (Ranger, Kerberos), streaming (Kafka, Spark Streaming), graph databases (Neo4J, GraphDB)
  • You are self-motivated and eager to learn new things out of your comfort zone

Our Diversity, Equity and Inclusion commitments

Our unobvious approach is a product of our diverse perspectives. This diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. Our business and technical challenges are unique, we need as many different voices as possible to join us in solving them - voices like yours. So no matter where you’re from, who you love, or what you believe in, 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. Sounds 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 3 business days. Our interview process tends to take between 3 or 4 weeks to complete. Don’t be afraid to let us know if you need more flexibility.

If you still feel this is not the right role for you, please check our DataOps position and Analytics engineer role. How about sharing it with a friend or colleague who might be interested? 

Please, note that this role is a full-time position in Amsterdam. It will require a relocation in case you live outside of the Netherlands.



Information and application:


Please send your application for Data Engineer at Adyen in Amsterdam including your CV via our website.

Job posted

25 oktober 2022
Apply Now

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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