The opportunity
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.
What you'll do
Build & Maintain Data Pipelines: 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.
Industrialize POC Integrations: Take our initial automated prototype connections and harden them into scalable, secure, and production-ready enterprise integrations.
Integrate Key Enterprise Systems: Establish and maintain seamless system-to-system connections linking Pigment with Workday (Finance & Procurement), Salesforce (CRM), Big Data Platform, and reporting interfaces (Looker).
Connect Logistics Networks (3PLs): 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.
Drive Data Quality & MDM: 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.
Support Global Expansion: Serve as the technical integration lead for our global warehouse expansions, ensuring robust local warehouse configurations from day one.
What they're looking for
- You have 4+ years of experience in data engineering, backend integration: development, or a systems integration role.
- You are highly motivated, proactive, and a natural problem solver with an: eagerness to master supply chain, financial, and warehouse logistics systems.
- You are highly proficient in database structures, SQL, and programming: languages commonly used in data pipelines (e.g., Python, Apache Airflow, PySpark).
- You have deep experience building API integrations (REST, SOAP), handling: data transformation formats (JSON, XML, CSV), and managing enterprise connectors.
- You bring an architectural mindset. You naturally engineer for pipeline: resilience, including automated alerting, transaction retries, error-logging, and comprehensive unit/UAT testing.
- You have a Data Governance and Architectural Mindset.
- You are a self-starter who actively seeks out inefficiencies, takes technical: ownership of solutions, and delivers results without requiring constant hand-holding.
- You can explain complex data architectures and pipeline failures clearly to: operational planners and business stakeholders.
