Data Engineer

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, 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 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 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.

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.