About the Role
Adyen is looking for a Supply Chain Data Engineer & Integration Specialist to join our team in Amsterdam. This high-impact role is positioned at the center of our operational systems landscape. You will own the technical architecture and data pipelines connecting our new Enterprise Performance Management (EPM) platform, Pigment, with our broader enterprise layers (Workday, Salesforce, Big Data Platform, Looker) and our global third-party logistics (3PL) warehouse networks.
Responsibilities
•Architect, implement, and monitor robust, production-grade data pipelines that feed our planning platforms, ensuring that clean operational data reliably reaches Pigment in the exact shape required.
•Take our initial automated prototype connections and harden them into scalable, secure, and production-ready enterprise integrations.
•Establish and maintain seamless system-to-system connections linking Pigment with Workday (Finance & Procurement), Salesforce (CRM), Big Data Platform, and reporting interfaces (Looker).
•Build and maintain direct integrations with external warehouse management systems and global logistics partners (e.g., DHL APIs) to support real-time inventory tracking and automated stock reconciliation.
•Work closely with the Central Data Platform team to enforce Master Data Management (MDM) at the source systems before data flows into down-stream planning modules.
•Serve as the technical integration lead for our global warehouse expansions, ensuring robust local warehouse configurations from day one.
Requirements
•4+ years of experience in data engineering, backend integration development, or a systems integration role.
•Highly motivated, proactive, and a natural problem solver with an eagerness to master supply chain, financial, and warehouse logistics systems.
•Highly proficient in database structures, SQL, and programming languages commonly used in data pipelines (e.g., Python, Apache Airflow, PySpark).
•Deep experience building API integrations (REST, SOAP), handling data transformation formats (JSON, XML, CSV), and managing enterprise connectors.
•An architectural mindset; naturally engineer for pipeline resilience, including automated alerting, transaction retries, error-logging, and comprehensive unit/UAT testing.
•A Data Governance and Architectural Mindset.
•A self-starter who actively seeks out inefficiencies, takes technical ownership of solutions, and delivers results without requiring constant hand-holding.
•Able to explain complex data architectures and pipeline failures clearly to operational planners and business stakeholders.
•Familiar with numerous AI models and embed AI usage in your daily work.
Conditions
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.
