$ cat jobs/data-engineer-i-payment-lifecycle-data-adyen-d8fc94a6bd61.json
Data Engineer I - Payment Lifecycle Data
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. Data Engineer I - Payment Lifecycle Data At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and directly drive the business, product, and operational insights we generate. We are looking for a highly curious, product-minded Data Engineer I to join our Payment Lifecycle Data team in Amsterdam. Embedded within the Payments Core Data organization, our team builds foundational data products spanning all payment methods over the complete lifecycle of a payment. In this role, you will work directly with the product and engineering teams creating and managing global payment methods and services. You will take data initiatives from initial business requirements through pipeline implementation, stakeholder validation, and end-user adoption, shaping how data informs key product decisions across the entire Adyen platform. What You’ll Do: End-to-End Data Product Ownership: Translate business questions into technical data solutions. You will help scope, design, build, and validate data products alongside product managers and engineers, gradually taking on more autonomy as you grow. Build & Maintain ETL Pipelines: Help design, build, and operate high-quality production ETL pipelines and data architectures on our Big Data Platform using Python, Pyspark and SQL. Stakeholder Collaboration: Engage directly with internal
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