About the company
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft. 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.
Responsibilities
- Architect, implement, and monitor robust, production-grade data pipelines that feed our planning platforms, ensuring clean operational data reliably reaches Pigment.
- Take 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.
- Serve as the technical integration lead for global warehouse expansions.
Requirements
- 4+ years of experience in data engineering, backend integration development, or a systems integration role.
- 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.
- Architectural mindset: pipeline resilience, automated alerting, transaction retries, error-logging, and comprehensive unit/UAT testing.
- Data Governance and Architectural Mindset.
- Familiar with numerous AI models and embed AI usage in daily work.
Conditions
- Based out of the Amsterdam office.
- Office-first company; no remote-only roles.